NDLI: Neural network computational algorithms for least squares estimation problems

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2015 International Joint Conference on Neural Networks (IJCNN)

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2009 International Joint Conference on Neural Networks

2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)

2007 International Joint Conference on Neural Networks

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2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)

Proceedings of the International Joint Conference on Neural Networks, 2003.

Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290)

IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222)

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium

IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339)

1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227)

Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94)

Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan)

[Proceedings 1992] IJCNN International Joint Conference on Neural Networks

[Proceedings] 1991 IEEE International Joint Conference on Neural Networks

IJCNN-91-Seattle International Joint Conference on Neural Networks

1990 IJCNN International Joint Conference on Neural Networks

International 1989 Joint Conference on Neural Networks

Neural network learning time: effects of network and training set size

Consistent inference of probabilities in layered networks: predictions and generalizations

Nonlinear data analysis and multilayer perceptrons

BPS: a learning algorithm for capturing the dynamic nature of speech

Inversion of multilayer nets

The mathematical theory of learning algorithms for Boltzmann machines

A network with multi-partitioning units

Solving the problem of overfitting of the pseudo-inverse solution for classification learning

An additional hidden unit test for neglected nonlinearity in multilayer feedforward networks

An investigation of adaptive learning implemented in an optically controlled neural network

Experiments of learning in optical perceptron-like and multilayer neural networks

Optical implementation of a high order associative memory

A new approach to a GaAs/AlGaAs optical neurochip with three layered structure

Optical orthogonal neural network associative memory with luminescent rebroadcasting devices

Highly-parallel optical adaptive neural computers with layered and segmented structures

Self-organisation: a derivation from first principles of a class of learning algorithms

Combining self-organizing maps

Fast self-organization by the probing algorithm

A model for self-organization in WTA networks and its application to map prediction problems

Variants of self-organizing maps

Enhancing supervised learning algorithms via self-organization

Reducing transmission error effects using a self-organizing network

Neural models of cursive script handwriting

Neuroplanners for hand/eye coordination

Connectionist modelling of a cognitive model to face identification: simulation of context effects

Interactional parallel processing in neural nets

A self-organizing neural network for classifying sequences

Improved input representation for enhancement of neural network performance

A study of sequence processing of neural networks

Hopfield model experimental learning with nonorthogonal patterns

The development of an associative memory model based on a classifier

Constrained differential optimization for temporally dynamic problems

Temporal associative memories using cascade and ring architectures

Error correcting network

Recall in saturated associative neural networks

Layered dynamic auto-associative memory with auto-encoder and feedback

Autoassociative memory with adjustable behavior

Capacity expansion of neural networks model using external coding

Information storage in high-order associative memory with unequal neural activity

A neural network approach to target recognition

Adaptive image sequence coding with neural network vector quantization

Integration of intensity-based and edge-based stereo algorithms using Markov random fields

A neuro-expert architecture for object recognition

Use of a neural net computer system for analysis of flow cytometric data of phytoplankton populations

Backpropagation and Bach's 5th cello suite (Sarabande)

Analysis of non-Gaussian data using a neural network

Large vocabulary speech recognition using concept networks

An application of SVM: alphanumeric character recognition

Preliminary results of applying neural networks to ship image recognition

Document classification using associative memories

An application of backpropagation to medical diagnosis

Sensor calibration using artificial neural networks

Neural net implementation for assigning a product to a production line

Neural network based heuristics for transitive closure derivation

SeqNet: a connectionist network for rule driven sequential problem solving

The parametric avalanche: continuous Bayesian estimation and control with a neural network architecture

Implementing classifications on one bit connection, analog programmable neural network

Architectures for neural network knowledge processing

Implementation of the Hopfield decomposition and DFT into analog hardware

mu BRAIN: a structured neural network for connectionist intelligent systems

Stability and convergence properties of a novel, multi-zero, artificial neural network

An asymmetric neural network successive approximation A/D converter

Inheritance reasoning in connectionist networks

Digital implementation of a neural network

Weight-free relaxation

Learning distributed representations of conceptual knowledge

Handling knowledge in high order neural networks: the combinatorial neural model

Computation of the distributed associative memory and numerical stability of the generalized inverse matrix

Experiments on learning in recursive neural networks

A parallel implementation of the Hopfield network on GAPP processors

Generalising the nodes of the error propagation network

Hybrid distributed/local connectionist architectures

Combined and diffeo-quadratic Hebbian neural systems: initial concepts

The invariance of overall sensor response to the choice of sigmoid neural response curves

Connectionist unification of feature-structures

Birds World: a coupled artificial neural network and expert system (CANNES) architecture

Parallel distributed gradient descent and ascent methods

On interpretations of a feed-forward neural network

A simple derivation of the constraints on the pattern vectors in a Little-Hopfield network

Counter propagation network: an interpretation

Error tolerant multilayer perceptrons with incompletely specified inputs

Pattern recognition by hierarchy of attracting sets

C-type neurons and C-type auto-associator for cognitive modeling

A neural network for 3-satisfiability problems

Towards a stochastic neural model for combinatorial optimization

Consistent labeling with PDP models: benchmarking studies

A derivative of the Hopfield-Tank neural network model that reliably solves the traveling salesman problem

Efficient implementation of connectionist models on MIMD parallel processors using chordal ring topologies

Neural networks vs. tree search in puzzle solving

On problem solving with Hopfield neural networks

Optimization of a digital neuron design

Neural network application to solve Fredholm integral equations of the first kind

Parallel approximate solution of the 0/1 knapsack optimization on competitive neural networks

Adjustment of parameters for signal decision networks

A connectionist solution for vertex cover problems

Fault-tolerance of a neural network solving the TSP

Three-dimensional point pattern tracking using a completely determined Hopfield network independent of the input data

Neural network computational algorithms for least squares estimation problems

Optimal task assignment using a neural network

Function optimization using a lattice of neurons

Using genetic recombination to optimize neural networks

Neural network implementation of the shortest path algorithm for traffic routing in communication networks

Sequence generation with connectionist state machines

A survey of some distributed processing models from a computational perspective

Analysis of neural networks by statistical linearization

Noise-induced critical behavior in an electronic model of a single neuron

Properties of pair associator networks

Neural three-valued-logic networks

On Hamming networks

A general explanation and interrogation system for neural networks

High order neural networks

Self-adaptive multidimensional Euclidean neural networks for pattern recognition

Adaptive modelling for cognitive structures

Development of adaptive B-splines using CMAC neural networks

Phase-locking of artificial neural oscillators can perform dynamic role binding and inferencing

A neural network model using inter-pattern association (IPA)

Outline of a theory of massively parallel analog computation

Neuro-algorithms for data compression with new generation computing

Convergence properties of a pulsed neural network

Maximum likelihood neural networks for adaptive classification

A wavefront 'snake' architecture for multilayer neural networks

Sensory adaptation: an information-theoretic viewpoint

A high order Boltzmann machine configuration for transfer sequence searches in decomposed state machines

Neural processing of semantic networks

Temporal-winner-take-all networks for arbitrary selection in connectionist and neural networks

An alternative matching mechanism: getting rid of attentional gain control and its consequent 2/3 rule in ART-1

Hybrid neural networks for tactical target recognition

Probabilistic neural-logic networks

A virtual network for reorganizable neural architectures

A nonlinear model of memory

Aging on a neural network

Electrical bursting in neuron models: a step toward understanding the neural network mechanisms

Combinatorial analysis of temporal sequences for pulse-transmission neural networks

Towards a hardware realisable model of the neuron

Reconstruction of photoreceptor responses in nudibranch mollusc, Hermissenda crassicorni based on isolated ionic currents

Modelling and application of distributive model of human memory as distributed parameter system

Toward systemic neural network modeling

IJCNN: International Joint Conference on Neural Networks (Cat. No.89CH2765-6)

The coincident redundant multiplex: the code of the brain

A parametric model for synthesis of cortical column patterns

An implementation of the equilibrium trajectory hypothesis for movement generation in the arm

Model local neural networks in the lobster stomatogastric ganglion

Rules of synaptic organization

Radar target identification using the learning vector quantization neural network

A backpropagation network for classifying auditory brainstem evoked potentials: input level biasing, temporal and spectral inputs and learning patterns

Possible applications of neural networks in manufacturing

High energy physics applications of neural networks

Integration of neural heuristics into knowledge-based inference

Alphanumeric character recognition using a connectionist model with the pocket algorithm

Period disambiguation using a neural network

Multiple neural networks for selecting a problem solving technique

Neural network clutter filter for large-array mosaic sensors

Comparison of polynomial network and look-up table for an avionics application

SMILES and FFANNS: similarity least squares and feed forward artificial neural networks

Using hybrid neural networks/expert systems for intelligent scheduling in flexible manufacturing systems

Target recognition: Conventional and neural network approaches

Neural network architectures for real time detection and localization of multiple targets

Signal processing with neural networks-I. Signal in noise

Three applications of neurocomputing in biomedical research

Generalization of protein structure from sequence using a large scale backpropagation network

Representation, scaling, and time invariance in neural network speech recognition: evidence for the recognition of stop consonants and vowels

Neural network design: methodology

A probabilistic approach to the alopex process using moment invariants of images

A deterministic neural network for processing of temporal sequences

A new back-propagation algorithm with coupled neuron

Supervised learning with artificial selection

An experimental evaluation of the optimal capacity of the Hopfield associative memory

Vision architecture for motion analysis

A stochastic learning algorithm for generalization problems

An improved educational software package to illustrate neural network paradigms

A back-propagation associative memory for both positive and negative learning

The systolic array neurocomputer: fine-grained parallelism at the synaptic level

Steps towards a VLSI implementation of the back propagation algorithm: non-linear synaptic functions

Learning on VLSI: a general purpose digital neurochip

The crossing number for neural networks

A universal digital VLSI design for neural networks

An enhanced parallel toroidal lattice architecture for large scale neural networks

Efficient implementation of neural networks on Hypercube SIMD arrays

Cascadable 32*32 vector-matrix multiplier for artificial neural networks

Electronic neural circuits with simulated annealing

Biophysical basis, stability, and directional response characteristics of multiplicative lateral inhibitory neural networks

Studies of pattern recognition with self-learning layered neural network

Fuzzy neural networks in computer vision

A neural-like layer for processing dynamic images

Neural networks for uncertainty management in vision systems

Hand written letter recognition with neural networks

Using back-propagation networks to assess several image representation schemes for object recognition

A neural network for invariant object recognition in a robotic environment

Application of neural constraint satisfaction networks to vision

A connectionist model for visual selective attention

Brainchild: a fault tolerant neural network

A model for Chinese words recognition in neural network

Algorithms for autonomous visual flight control

Deterministic networks for image estimation using a penalty function method

Quantitative analysis of local neuronal systems in area 18 of the cat cerebral cortex

Random dot stereograms and the correspondence problem revisited

A model of vertebrate retinal processing

A neuromorphic learning strategy for the control of a one-legged hopping machine

A perspective on research aimed at understanding the systems nature of neural controllers

Neuromorphic learning of continuous-valued mappings in the presence of noise: application to real-time adaptive control

A neuromorphic controller for a three-link biped robot

Bugs: a real-time adaptive network that responds to motion

Networks that learn to predict where the food is and also to eat it

Segregation algorithm: splitting the training set improves learning

Dynamic modeling and control of welding processes using neural network techniques

A neural network nonlinear predictor

Cumulative negative transfer during successive training: analysis of a second sequential learning problem

Dynamic node creation in backpropagation networks

Techniques for synthesizing piecewise linear and quadratic neural network classifiers

Fast learning process of multi-layer neural nets using recursive least squares technique

A new gradient-free learning algorithm

Algebraic analysis of neural net learning

A hierarchical neural network involving nonlinear spectral processing

Application of the adaptive neuronlike network for the identification of nonlinear multidimensional objects

Primacy and recency effects due to momentum in back-propagation

The minimal disturbance backpropagation algorithm

Backpropagation algorithm which varies the number of hidden units

The effects of precision constraints in a backpropagation learning network

Speeding up artificial neural networks in the 'real' world

A structural learning algorithm with forgetting of link weights

An introduction to conjunctoid theory and architecture

Understanding internal representations and generalization properties in backpropagation networks

Back propagation error surfaces can have local minima

Adaptation of Boolean networks using back-error propagation

Convergence properties of backpropagation algorithm

Use of an entropy measure in supervised learning

The effect of training signal errors on node learning

Robust back-propagation: connectionist learning algorithms resistant to various types of noise

Influence of target-vector code selection on the performance of a neural-network word recognizer

Fuzzy connectionist expert systems

A selective learning algorithm for certain types of learning failure in multi-layer perceptrons

Stochastic vector machine: a multi-layered network with learning ability

A technique for creating and initializing hidden units for neural net pattern classification problems

Artificial neural network for mapping

Backpropagation decision region formation properties

Pattern classifier net using information entropy

A 3D transformation of a rigid link system using back propagation

On asymptotic properties of supervised learning

Variable and fixed rank-1 N/sup 4/ interconnections

Parallel N/sup 4/ weighted optical interconnections for artificial neural networks: mathematical formulation and fundamental limitations

Optical associative memory with nonzero diagonal interconnection matrix based on electron trapping materials

Multiple fiber coupler associative memory with bit significance retrieval

An opto-electronic implementation of the associative neural network using a time division multiplexing technique

A formulation for 2-D array neural nets for electro-optical implementation

Multitarget tracking with an optical neural net using a quadratic energy function

Self organizing networks with a split and merge algorithm

SPAN: a neural network that grows

A system extending backpropagation to learn classification/categorization without a teacher, form a small basis for larger knowledge structures, and make additional reasoning using knowledge learned from classification/categorization

EEG spike detection using backpropagation networks

A self-learning musical grammar, or 'associative memory of the second kind'

Unsupervised learning in noise

Representational issues in a neural network model of syllable recognition

Memorizing oscillatory patterns in the analog neuron network

Performance analysis and application of the bidirectional associative memory to industrial spectral signatures

A collective computation approach to automatic target recognition

Bidirectional continuous associator based on Gaussian potential function network

A discrete Lyapunov system as an efficient associative memory

Motion in the space of memory patterns

Context-sensitive associative memory: 'residual excitation' in neural networks as the mechanism of STM and mental set

Performance of back propagation networks for associative database retrieval

Invariant perception for symmetry related patterns

Generalized adaptive bidirectional associative memory

A closure associative processor

An enhanced bidirectional associative memory

Image processing for image understanding with neural nets

A comparison of a nearest neighbor classifier and a neural network for numeric handprint character recognition

A network system for image segmentation

Comparing different neural network architectures for classifying handwritten digits

Implementing the boundary contour system on a multi vector processor iPSC/2 HyperCube

Detection of blood vessels in 3D MR-images

Multispectral image-processing with a three-layer backpropagation network

Distortion invariant object recognition by matching hierarchically labeled graphs

Contour extraction of images on parallel computer-local, parallel and stochastic algorithm which learns energy parameters

Performance analysis of two image vector quantization techniques

Probabilistic cellular automata in pattern recognition

A new approach for pattern recognition by neural networks with scramblers

Networks for image analysis: motion and texture

A neural architecture for visual motion perception: group and element apparent motion

Search mechanisms for adaptive resonance theory (ART) architectures

Convergence in cascades of neural networks

Backpropagation and neurocontrol: a review and prospectus

Generic constraints on underspecified target trajectories

Interpreting biosensor data via backpropagation

A novel objective function for improved phoneme recognition using time delay neural networks

Design of hierarchical perceptron structures and their application to the task of isolated-word recognition

Syllable recognition using integrated neural networks

ATM communications network control by neural network

A neural network for tactile sensing: the Hertzian contact problem

Neural networks for extraction of weak targets in high clutter environments

Application of neural networks to terrain classification

The use of probabilistic neural networks to improve solution times for hull-to-emitter correlation problems

Dolphin echolocation: identification of returning echoes using a counterpropagation network

On the use of neural networks and fuzzy logic in speech recognition

A lesion study of a heterogeneous artificial neural network for hexapod locomotion

A conditional probability interpretation of Kanerva's sparse distributed memory

Mapping abilities of three-layer neural networks

Pattern classification using trainable logic networks

Knowledge representation in a multilayered Hopfield network

A self-training visual inspection system with a neural network classifier

An approach to image recognition using sparse filter graphs

Use of neural nets in channel routing

Translation-invariant aorta segmentation from magnetic resonance images

Target detection using a neural network based passive sonar system

Performance and training strategies in feedforward neural networks: an application to sleep scoring

Fast trainable pattern classification by a modification of Kanerva's SDM model

A spatio-temporal pattern recognition approach to word recognition

Methods for deriving competitive activation mechanisms

A multilayered neural network composed of backpropagation and Hopfield nets and internal space representation

Principal component analysis by gradient descent on a constrained linear Hebbian cell

A bifurcation theory approach to vector field programming for periodic attractors

A learning algorithm for connectionist concept classes

Counting stable states and sizes of attraction domains in Hopfield nets is hard

Adaptive network for optimal linear feature extraction

Numerical analysis of neural networks

Improving generalization in backpropagation networks with distributed bottlenecks

The other variant Boltzmann machine

Formation of disconnected decision regions with a single hidden layer

Phoneme classification experiments using radial basis functions

A modified leaky integrator network for temporal pattern processing

A connectionist model of conceptual representation

Reconfigurable neural nets by energy convergence learning principle based on extended McCulloch-Pitts neurons and synapses

Learning in systematically designed networks

NEUROPT: neurocomputing for multiobjective design optimization for printed circuit board component placement

Solving large-scale optimization problems by divide-and-conquer neural networks

Traveling salesman heuristics and embedding dimension in the Hopfield model

Graph partitioning using annealed neural networks

Design of parallel distributed Cauchy machines

Combinatorial optimization with Gaussian machines

Optimal simulated annealing method and its application to combinatorial problems

Gram-Schmidt orthogonalization neural nets for OCR

Theories on the Hopfield neural networks

Optimal scheduling by competitive activation: application to the satellite antennae scheduling problem

Neural algorithms for cell placement in VLSI design

Lower bounds of annealing schedule for Boltzmann and Cauchy machines

The representation of large numbers in neural networks and its application to economical load dispatching of electric power

Theory of the backpropagation neural network

Construction of neural nets using the radon transform

Universal approximation using feedforward networks with non-sigmoid hidden layer activation functions

'Chaotic relaxation' in concurrently asynchronous neurodynamics

Brain-state-in-a-box neural networks with asymmetric coefficients

Neural computability. II

Backpropagation separates when perceptrons do

A learning algorithm for analog, fully recurrent neural networks

Encoding sequential structure: experience with the real-time recurrent learning algorithm

CALM networks: a modular approach to supervised and unsupervised learning

On the cognitive function of deterministic chaos in neural networks

Hardware realisable models of neural processing

Parametric connectivity: feasibility of learning in constrained weight space

Estimating hidden unit number for two-layer perceptrons

Integration of knowledge-based system and neural network techniques for autonomous learning machines

Rapid training of higher-order neural networks for invariant pattern recognition

Dimensionality analysis of EEG segments: experimental considerations

Pattern recognition in olfactory systems: modeling and simulation

Biological neural networks: beyond the PDP model

Neural geometry: the need of researching association of covariant and contravariant coordinates that organizes a cognitive space by relating multisensory-multimotor representations

Visual pursuit errors: implications for network models

Feature linking via stimulus-evoked oscillations: experimental results from cat visual cortex and functional implications from a network model

Staged assimilation: a system for detecting invariant features in temporally coherent visual stimuli

A neural network model of force control based on the size principle of motor unit

Three-level neural model: an operational study of essential human intelligence

Model of attentional brain function

Phase transitions and metastability in neural nets

Matcher neural networks

Modeling of neuronal networks through decomposition

A model for temporal correlation of biological neuronal spike trains

Dynamic model of dual layer neural network for vertebrate retina

Invariant image recognition using a multi-network neural model

Speaker-independent recognition of connected utterances using recurrent and non-recurrent neural networks

Analog capabilities of the BSB model as applied to the anti-radiation homing missile problem

Automotive control system diagnostics using neural nets for rapid pattern classification of large data sets

Multi-layer multi-feature map architecture for situational analysis

Detection of explosives in checked airline baggage using an artificial neural system

Image data compression using a neural network model

Local component analysis: a neural model for information retrieval

A modular neural network architecture for sequential paraphrasing of script-based stories

Adaptive sensor fusion with nets of binary threshold elements

Sorting by Hopfield net

A digital Holter monitoring system with dual 3 layers neural networks

Pulse radar detection using a multi-layer neural network

Parallelism, hierarchy, scaling in time-delay neural networks for spotting Japanese phonemes CV-syllables

Reinforcement learning algorithms as function optimizers

The role of time in natural intelligence: implications for neural network and artificial intelligence research

Dynamically stable associative learning (DYSTAL): a biologically motivated artificial neural network

A geometric approach to learning in neural networks

Parity Madeline: a neural net with complete Boolean repertoire capable of one-pass learning

A pattern recognition application of the ALOPEX process with hexagonal arrays

A sequential adder using recurrent networks

Even simple neural nets cannot be trained reliably with a polynomial number of examples

A geometrical approach to neural network design

Neural network simulation on a massively parallel cellular array processor: AAP-2

A digital neuro-chip with unlimited connectability for large scale neural networks

An artificial neural network accelerator using general purpose 24 bit floating point digital signal processors

A general purpose analog neural computer

Design of parallel hardware neural network systems from custom analog VLSI 'building block' chips

An electrically trainable artificial neural network (ETANN) with 10240 'floating gate' synapses

Extension of cellular automata to neural computation: theory and applications

TInMANN: the integer Markovian artificial neural network

A wafer scale integration neural network utilizing completely digital circuits

Biological model of vision for an artificial system that learns to perceive its environment

Self-organizing neural network architectures for computing visual depth from motion parallax

Image understanding by neuron network-representation and operation of internal image

Is backpropagation biologically plausible?

A retina-like model for motion detection

Neural network algorithms for motion stereo

Handwritten numeral recognition by multilayered neural network with improved learning algorithm

An extended model of the neocognitron for pattern partitioning and pattern composition

A group theory approach to neural network computation of 3D rigid motion

A constraint satisfaction network for matching 3D objects

Object recognition based on graph matching implemented by a Hopfield-style neural network

A comparison of feedforward and self-organizing approaches to the font orientation problems

A solution to the inverse kinematic problem in robotics using neural network processing

Implementation of an adaptive neural controller for sensory-motor coordination

Neural network architecture for adaptive system modeling and control

A fine-grained alternative to the subsumption architecture for mobile robot control

High precision position control by Cartesian trajectory feedback and connectionist inverse dynamics feedforward

Neural kinematics net for a redundant robot arm

Accelerated convergence in the inverse kinematics via multilayer feedforward networks

Generation of limb trajectories with a sequential network

3D neural net for learning visuomotor-coordination of a robot arm

The truck backer-upper: an example of self-learning in neural networks

Learning state space trajectories in recurrent neural networks

A rationalized error back-propagation learning algorithm

Efficient training of the backpropagation network by solving a system of stiff ordinary differential equations

On training of artificial neural networks

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