NDLI: Human level cognition in embodied robots

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2015 International Joint Conference on Neural Networks (IJCNN)

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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

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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)

Volume 3 - 1993

Volume 2 - 1993

Proceedings Of 1993 International Joint Conference On Neural Networks Volume 2 Of 3

Human level cognition in embodied robots

Learning invariant responses to the natural transformations of objects

Is the "functional column" really a well-defined concept?

Column structure of inferotemporal cortex: "visual alphabet" or "differential amplifiers"?

Temporal distributed processing-TDP: no wait-states in sensory pathways-a time-based approach of cortical function

A new synaptic mechanism which controls the receptive field size of visual second order neurons

A learning algorithm for Hodgkin-Huxley type neuron models

Control of cortical synchronization by wide threshold reduction

Temporal resolution: a critical parameter in simulations of pulse-coupled neural networks

A theoretical model of the hippocampal-cortical memory system motivated by physiological functions in the hippocampus

Model of neocortico-hippocampal memory system by short, middle and long term memory

Reinforcement learning of the neocortico-hippocampal system

Character recognition by associative completion on words

Tree learning theory of neural networks

Tree learning algorithm of neural networks

Empirical integration principle of information represented in parallel in the human brain-three integration principles with three types of parallel representation

On the schematic representation of binding in perception

Recognition of ambiguous vowels by generation of dynamical coherence in oscillator neural networks

Competitive self-organizing neural network

Using old memories to store new ones

Homotopic BP algorithm adopted staged principle

Self-organization of surface shapes

3-D shape recovery by incorporating context-a connectionist approach

Neural network to reconstruct specular surface shape from its three shading images

3D reconstruction of tree structures from biplane pictures

Boundary detection by artificial neural network

Pattern extraction system using a nonuniformly resolved image

Retinal neural network model for selective fixation in machine vision

A neural network model of programming for the saccade goal

Physiologically-motivated vision system for pursuing a moving target

A hybrid neural network system for the rainfall estimation using satellite imagery

Neural network adaptive digital image screen halftoning (DISH) based on wavelet transform preprocessing

Edge preserving vector quantization using self-organizing map based on adaptive learning

Edge detection by neural network with line process

The difference method: a way of detecting abnormalities in MRI images

Comparison of backpropagation, cascade-correlation and Kokonen algorithms for cloud retrieval

Real-time detection of ships in radar images

Monitoring the deforestation of the Amazon region with neural networks

A generic dynamic inspection system for visual object inspection and industrial quality control

Quantization level increase in human face images using multilayer neural network

Extraction of the outlines of preceding cars utilizing neural network techniques

BP learning of visual motion detection, and analysis of the internal NN structure that emerges

Internal representation of a neural network that detects local motion

Artificial neural network system for 3-D motion perception

Robust extraction of moving objects through grouping edges along with optical flow

Invariant pattern recognition using higher-order neural networks

A novel pattern searching method using neural networks and correlation

A PCA-like rule for pattern classification based on attributed graph

Object recognition system using temporal pattern recognition networks with quantizer neuron chip

Automatic face recognition for access control

Pattern classification using a generalised Hamming distance metric

Fast face recognition method using high order autocorrelations

Camera-based bar code recognition system using neural net

Traffic sign recognition in outdoor environments using reconfigurable neural networks

Locked and non-locked responses of the BVP oscillator to periodic pulse trains

Sensory integration for space perception based on scalar learning rule

Motor planning according to reliability of internal model

Leg synchronization of a walking machine by means of backpropagation-networks

Inverse dynamics model in the cerebellum

Hierarchical mixtures of experts and the EM algorithm

Automatic task decomposition in modular networks by structural learning with forgetting

Piecewise linear regression networks and its application to time series prediction

A hybrid model composed of a multilayer perceptron and a radial basis function network

Learning method by overload

Dual encoding as a means of improving neural net performance

Handwritten digit recognition using combined neural networks

Selective function learning neural network which unifies conflicting results of multiple methods for distorted handprinted Kanji pattern recognition

A multiple network architecture combined by fuzzy integral

"Dynamic perceptron". An outlook of computational dynamics

Neural pattern recognition with multi-scale pyramidal coding and selective attention

An efficient multilayer quadratic perceptron for pattern classification and function approximation

A study on three-layer perceptron with a capability of guaranteed learning

A generic neural model based on excitatory-inhibitory neural population

A stochastic network with rotor neurons

Neural networks with digital LUT activation functions

Rule-based reasoning using extended neural logic network

The transverse network-a new neural model with spatio-temporal coding of information

Spatio-temporal pattern recognition by competitive networks

ANASA II: a novel, real-valued, reinforcement algorithm for neural unit/network

Re-constructing high reliable BP-model neural networks

A comparative study of ART2-A and the self-organizing feature map

Neural network structures for expression recognition

Dependency of the connection architectures of oscillatory neural networks on synchronization

Approximation capability to functions of several variables, nonlinear functionals and operators by radial basis function neural networks

Evaluation of the capability of multilayer perceptron using total curvature of hypersurface: in the output-space

Singularity of multilayered neural networks on backpropagation

Distinguish true threshold function from false

Weighting function in neural network

Cellular associative memory

KATAMIC sequential associative memory

Complexity of block-sequential update for symmetric neural networks

Chaotic neuron models and artificial neural networks

Analysis of hysteresis in Hopfield neural networks

Problem solving by global optimization: the rolling-stone neural network

"Deceptive" problems for Hopfield neural networks

Oscillatory neural unit and simultaneous energy-value extraction for Hopfield neural network

A new approach to via minimization problem in VLSI chip design

A near-optimum parallel algorithm for one-dimensional gate assignment problems

An O(1) approximate parallel algorithm for the n-task-n-person assignment problem

On the convergence of neural network for higher order programming

Fuzzy scheduling of the parameters in Hopfield neural networks

Machine and bit precision influence on the Hopfield-Tank model for the TSP

Neurons with an immunological rejective function and their application to scheduling problems

The stability of the solution in Hopfield neural network

Cost coefficient control method for solving optimization problems on Hopfield-type neural networks

An artificial neural net based method for power system state estimation

A Hopfield network for solving a complex scheduling problem in behavioral synthesis

Graph color minimization using neural networks

A Harmony Theory network solution to the map-coloring problem

Chaotic neural networks and the traveling salesman problem

Incorporating elastic ring into Potts neural network

Linear programming neural networks for job-shop scheduling

Implementation of optimization networks in synchronous massively parallel hardware

A cost minimization approach to microwave imaging using simulated annealing

A new approach to the traveling salesman problem

A new optimizer for the facility layout problem

Computer networking representations for parallel distributed computing algorithms

One variable stochastic simulated annealing channel router

Hand-written digit recognition by one variable stochastic simulated annealing

A probabilistic neural network for designing good codes

Application of a genetic algorithm to meter allocation in electric power systems

Parallel distributed implementation of the shortest path algorithm

A parallel distributed processing technique for job-shop scheduling problems

A hierarchy neural network approach to symbolic logic-algorithms of problem solving

Quantum neurons and their fluctuation

A new approach to optimization of a PI controller using neural networks

Exploring orderliness by self-organization

Design optimization of code-excited neural vector quantizers

Neuropeptide-like operators in artificial neural networks

Prediction error and consistent parameter area in neural learning

Incremental learning with and without queries in binary choice problems

Estimating learning curves by PAC-learnability criterion

Fractal neural nets with sparse coding and low firing rates

A back-propagation algorithm for complex numbered neural networks

An algorithm for learning from hints

Analysis of statistical training method

Distributed learning and cooperative learning

Noise robustness of EBNN learning

A back-propagation algorithm based on the extended Kalman filter

Parametric representation of memory surfaces in three-layered neural networks

Landscapes of basins of local minima in the XOR problem

Backpropagation networks including time delay elements (BPD)

Artificial neuronal group method for data handling

Explicit solution of the optimum weights of multilayer perceptron: the binary input case

Training neural networks with time-varying optimization

Improvement of supervised learning by linear mapping

Initializing weights to a hidden layer of a multilayer neural network by linear programming

Sampling rate for information encoding using multilayer neural networks

On memory size occupied by a multilayer perceptron

Asymptotic insensitivity to weights perturbations in back-propagation classifiers

A mathematical foundation on Poggio's regularization theory

Generalization in a perceptron with a sigmoid transfer function

Probability density estimation by regularization method

Evaluation of artificial neural network classifiers in small sample size situations

Relationships between internal representation and generalization ability in multi layered neural network for binary pattern classification problem

Comparison of different neural approximation approaches in the path tracking problem

Learning goal-directed navigation as attractor dynamics for a sensory motor system. (An experiment by the mobile robot YAMABICO)

Steering and speed control of a car by fuzzy-neural control

Neuro-control system for biologically motivated servomechanism

An application of fuzzy neural networks to design of adaptive fuzzy controllers

Modelling dynamic processes with clustered time-delay neurons

A neural network adaptive controller for robots with unknown dynamics

Neural fault detection, isolation, and estimation design

Neural net based model predictive control of a chaotic continuous solution polymerization reactor

Control of chaos using neural networks

A regulator design of dynamical systems with nonlinear uncertainties using multilayered neural networks

Efficient online training of recurrent networks for identification and optimal control of nonlinear systems

Robotic manipulator trajectory control using neural networks

Performance of neural network-based controller in the presence of bounded uncertainty

Removing epistemological bias from empirical observation of neural models

Design of direct controllers of PID type by receptive field neural networks

Prediction and control of discrete systems using neural networks

Stabilization of flexible structures using artificial neural networks

Learning compliance control laws for robotic assembly: an application of adaptive reinforcement learning control

Hidden control neural network identification-based tracking control of a flexible joint robot

State variable approach to neuro-identification

Nonlinear systems identification using RBF neural networks

Simulations results of an insect robot

Disturbance-rejection neural network control

Analysis of quality properties in paper drying with neural networks

A pattern classification neural network suitable for machine control

Neural networks for simulating the deformation of soft materials

Controlling 1000 amps using neural networks

A Boolean net trainable as a computing robot control

Neurocomputations with fuzzy flip-flops

Learning from incomplete training data with missing values and medical application

A hybrid architecture for robot navigation

A backward identification approach to fuzzy rules learning using a centroid-resonance neural network

Neuro-fuzzy minimum torque change control of DD manipulator

A function approximator using fuzzy rules extracted directly from numerical data

A genetic method for optimization of asynchronous random neural networks and its application to action control

Extensive usage of prior knowledge improves generalization performance

FEN (fuzzy expert network) learning architecture; generalization of self adjusting fuzzy modeling on event-driven acyclic neural networks using expert networks backpropagation learning

Signal understanding of spectrum data using Bayesian network and neural network

ANN accelerator by parallel processor based on DSP

Fault-tolerant neural architectures: a general approach to concurrent diagnosis based on signature analysis

Recurrent neural network model on an SIMD parallel architecture

Spin-L: sequential pipelined neuroemulator with learning capabilities

High performance with low implementation cost sigmoid generators

The general purpose neurocomputer "Hercules"

Digital architecture for neural networks

Efficient neural network training algorithm for the Cray Y-MP supercomputer

Fixed-point roundoff error analysis of large feedforward neural networks

A COprocessor for KOhonen's self-organizing map (COKOS)

Topological maps for VLSI placement

A wavefront array processing architecture for real-time simulation of large scale neural networks

Electronic implementation of artificial neural network with URAN

Development of a high-performance general purpose neuro-computer composed of 512 digital neurons

A chip design of generalized winner-take-all circuit

Digital CMOS VLSI processor design for the implementation of neural networks using linear wavefront architecture

Neural network computation in a parallel multiprocessor architecture

Hardware synthesis for neural networks from a behavioral description with VHDL

Quantitative comparison of architectures for digital neuro-computers

Automated feature detection and characterization in sort wafer maps

Successive approximation radial basis function networks for nonlinear modeling and prediction

Nonparametric density estimation by a self-consistent neural network

An inverse-problem analysis of magnetopneumography with RBFN

Applying a self-organizing map to sensor-array characterization

Flow rate measurement in air-water horizontal pipeline by neural networks

Self-organizing map to filter acoustic mapping survey in noise pollution analysis

An index of system nonlinearity and its estimation

A neural networks system for traffic congestion forecasting

Next day peak load forecasting using an artificial neural network

Recognition system of US dollars using a neural network with random masks

A neural network based control of a simulated industrial lime kiln

Neural net based interregional telephone traffic models

Volume 1 - 1993

[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

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