NDLI: The plastic self organising map

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Volume 3 - 2002

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Three-dimensional structure of synapses in the brain and on the Web

Networks with input gates for situation-dependent input selection in reinforcement learning

A hybrid learning RBF neural network for human face recognition with pseudo Zernike moment invariant

Use of top-down signals for restoring partly occluded patterns

An auditory system for efficient coding of natural sounds

A neurocognitive approach to self-organisation of verb actions

Two recurrent neural networks for grasping force optimization of multi-fingered robotic hands

Bi-criteria kinematic control of redundant manipulators using a dual neural network

A novel neuro-based model reference adaptive control for a two link robot arm

Application of knowledge-based cascade-correlation to vowel recognition

A comparative study of statistical ensemble methods on mismatch conditions

Speech recognition using modified fuzzy hypersphere neural network

On amplitude modulation for monaural speech segregation

Realistic modeling applied to cerebellar function

Neuronal signal processing in Parkinson's disease

Monitoring and characterization of combustion flames by generalized Hebbian learning

Inference of distillation column products quality using Bayesian networks

Application of a MLP neural network for compensation of distortions in strain gauges measurements due to temperature variations in offshore operation of a flexible pipe-lay vessel

Hybrid neural network/conventional control of a benchmark process control problem

A novel method for improving the classification capability of radial basis probabilistic neural network classifiers

From the spherical to an elliptic form of the dynamic RBF neural network influence field

Classification of objects in residential monitoring systems

Frequency response analysis of an artificial neural network modeling the lamina ganglionaris of musca domestica

Latent attractor selection in the presence of irrelevant stimuli

Dynamical neuro-representation of an immune model and its application for data classification

Computational examination on the dynamics of recall activity in the inferior temporal cortex

Graph isomorphisms effect on structure optimization of neural networks

Modifications of discrete Hopfield neural optimization in maximum clique problem

Recursive processing of cyclic graphs

Application of neural classifier for flat image recognition in the process of microdevice assembly

A hybrid maximum error algorithm with neighborhood training for CMAC

Stochastic learning control for nonlinear systems

A Lagrangian network for multifingered hand grasping force optimization

Modelling gene regulatory data using artificial neural networks

A Kohonen self-organizing map for the functional classification of proteins based on one-dimensional sequence information

Bayesian neural network for microarray data

Gene expression classification using optimal feature/classifier ensemble with negative correlation

Neuroinformatics in vision: Visiome Platform

Internetplattform Neuroinformatik. A pilot study for the OECD neuroinformatics portal

Selecting features for neural network committees

An experimental comparison of ensemble learning methods on decision boundaries

Input partitioning to mixture of experts

Meta neural networks as intelligent agents for diagnosis

A study of the relationship between support vector machine and Gabriel graph

On model selection and the disability of neural networks to decompose tasks

Geometric neurocomputing for visually pose recognition

Pruning product unit neural networks

Removing decision surface skew using complementary inputs

Recursive cascade correlation for contextual processing of structured data

Sequential Monte Carlo learning with hyperparameter adjustments

Prediction of protein secondary structure by multi-modal neural networks

Multi-domain gating network for classification of cancer cells using gene expression data

Normalization of cDNA microarray data by using neural networks

The benefit of intrinsic disorder information in neural network prediction of calmodulin binding targets

Tissue classification through analysis of gene expression data using a new family of ART architectures

Strip mining for molecules

Scheduling of PID controllers by means of a neural network with application to a solar power plant

Model-based incipient fault diagnosis - multi-step neuro-predictors and multiresolution signal processing

ANN approach applied to combined economic and emission dispatch for large-scale system

Transient stability control decision by compound neural network

Refined simulated annealing method for solving unit commitment problem

Multi-layer feed-forward modular network for induction motor

Best effort adaptive routing in statistically accurate sensor networks

Adaptive-SDR: adaptive swarm-based distributed routing

Distributed topology control algorithm for multihop wireless networks

On the performance of swarm routing utilizing light-weight agents

On the lifetime extension of energy-efficient multihop broadcast networks

Maximizing lifetime in an energy constrained wireless sensor array using team optimization of cooperating systems

Forecasting real time financial series

Forecasting time series by Bayesian neural networks

Pareto multiobjective nonlinear regression modelling to aid CAPM analogous forecasting

Motivation for a genetically-trained topography-preserving map

Adaptive multiresolution filtering to forecast nonlinear time series

Neural blind separation for electromagnetic source localization and assessment

Redundancy reduction in environmental data set by means of an unsupervised neural networks

Constructive MoG neural networks for pollution data forecasting

Neural network models to forecast hydrological risk

Evaluation of neural network techniques in predicting and minimizing the mass of soil wastes in a sugar-beet harvesting season

Wavelet neural network processing of urban air pollution

Subband neural networks for noisy signal forecasting and missing data reconstruction

MISEP-an ICA method for linear and nonlinear mixtures, based on mutual information

Data augmentation using a combination of independent component analysis and non-linear time-series prediction

Two approaches to estimation of overcomplete independent component bases

An ensemble learning approach to nonlinear dynamic blind source separation using state-space models

Comparison of Lagrange constrained neural network with traditional ICA methods

Temporal factor analysis (TFA): stable-identifiable family, orthogonal flow learning, and automated model selection

Perception-based robotics based on perceiving-acting cycle with modular neural networks

Adaptive output tracking of partly known robotic systems using SoftMax function networks

Self-organization of behavioral primitives as multiple attractor dynamics: a robot experiment

Self-organized modulation of a neural robot controller

A simulator using classifier systems with neural networks for autonomous robot navigation

Neuro-fuzzy motion control for mobile robot

A memory optimal BFGS neural network training algorithm

A note on activation function in multilayer feedforward learning

Heterogeneous adaptive systems

Symmetry of backpropagation and chain rule

Empirical prediction limit estimation methods for feed-forward neural networks

The research on learning algorithm of binary neural networks

Optimization of neural network weights and architectures for odor recognition using simulated annealing

A fuzzy neural network tree with heuristic backpropagation learning

Real-time reconfigurable control system design using on-line neural estimator

Performance and caching issues in an integration of neural net and conventional PC

The theoretical analysis of kernel technique and its applications

Close-class-set discrimination method for large-class-set pattern recognition using support vector machines

Learning of symbiotic relations among agents by using neural networks

Performing basic mathematics with neurons/nets. I

Performing mathematics with neurons or neural networks trained to represent non-linear functions. II

Neural-network-based adaptive control of wing rock motion

The dynamic performance of photovoltaic supplied dc motor fed from DC-DC converter and controlled by neural networks

Neural network models for preprocessing and discriminating utterances of consonant-vowel units

Speaker-independent phonation recognition for Malay plosives using neural networks

Driving environmental change detection subsystem in a vision-based driver assistance system

Air pollutant parameter forecasting using support vector machines

Optimal feed-forward neural networks based on the combination of constructing and pruning by genetic algorithms

A novel approach for the hyperparameters of support vector regression

An investigation of differential skin colonization of neonates by staphylococci, using an artificial neural network-based system

Natural gradient learning for second-order nonstationary source separation

Stability analyzing of chaotic neural network for associative memory

An RBF network method for blind signal separation

Radial basis perceptron network and its applications for pattern recognition

Chaotic system identification based on Kalman filter

Autonomous learning cerebellum model articulation controller

Interactive face retrieval using self-organizing maps

The APECS-SRN: towards a model of SRT sequence learning

A new sequential decision feedback method with application to target classification

Training a kind of hybrid universal learning networks with classification problems

A proposal of grading system for fallen rice using neural network

Enhance the performance of CMAC neural network via fuzzy theory and credit apportionment

Recording algorithm for weakly pulse coupled neural network

The plastic self organising map

Implementation of learning in continuous analog circuitry

A multi-level and multi-scale evolutionary modeling system for scientific data

Maximizing the margin with feedforward neural networks

A visual solution to modular neural network system development

Automatic design of W-operators using LVQ - application to morphological image segmentation

Chaotic phenomenon in both an integrate-and-fire circuit with periodic pulse-train input and a discrete neural network model

An integrated algorithm of magnified gradient function and weight evolution for solving local minima problem

Numerical solution of differential equations by radial basis function neural networks

Direction-selective simple cells in cat striate cortex: a developmental model

Efficient SOM learning by data order adjustment

A hierarchical approach to ART-like clustering algorithm

Modeling and parameter optimization of rough rice drying using artificial neural networks

A training method for enhancing neural network model generalisation

An associative model of human learning on an artificial dimension

Neuro-fuzzy estimation of plasma boundary in ITER configuration

A novel recurrent network based pitch detection technique for quasi-periodic/pitch-varying signals

A shape cognitron neural network for breast cancer detection

A comparison of different methods for combining multiple neural networks models

Analyzing state dynamics in a recurrent neural network

Genetic algorithm based self-growing training for RBF neural networks

Adaptive RBF neural networks for pattern classifications

Discriminative training for neural predictive coding applied to speech features extraction

Flow invariance for competitive neural networks with different time-scales

Spontaneous recovery of version by canonical correlation analysis network

An HMM-MLP hybrid system to recognize handwritten dates

Robot motion simulation using wavelet neural network

Fast recognition of handwritten digits using pairwise coupling support vector machine

On new RBF-like classifier

On the design of constructive training algorithms for multilayer feedforward

A neuro-fuzzy based oil/gas producibility estimation method

Reduction of uncertainties in neural network prediction of oil well logs

Krawtchouk moments as a new set of discrete orthogonal moments for image reconstruction

Optimization by varied beam search in Hopfield networks

Comparison of MLP and RBF neural networks using deviation signals for indirect adaptive control of a synchronous generator

A self-organizing approach for integrating multidimensional sensors in process control

The evolution of neural network controllers for the targeted swing of cockroach-like robot

Probabilistic connections in relaxation networks

Modeling and verification of the "cause &effect" relation comprehension by neural networks using learning algorithms

Neural network design through embedded representations and evolutionary computation

SOM associative memory for temporal sequences

Study of machine fault diagnosis system using neural networks

Local subspace analysis for astronomical object detection and star/galaxy classification

A design of non-linear electro-pneumatic servo systems by using neural-net based linearizer with off-line learning algorithm

Image coding/reconstruction and matching using a parallel distributed Hebbian architecture

Multiclass support vector machines using adaptive directed acyclic graph

CMAC-based fault diagnosis of power transformers

Pattern recognition with block-based neural networks

Short-term daily load forecasting in an intelligent home with GA-based neural network

Estimation of error confidence intervals for the regression of real-valued functions

Learning algorithms for a neural network in FPGA

Feature reduction of Zernike moments using genetic algorithm for neural network classification of rice grain

An algorithm for multi-layer network to solve differential equations

Saliency map model based on the edge images of natural scenes

A neural network filter for complex spatio-temporal patterns

Multi-thread search with deterministic annealing EM algorithm

Model selection and local optimality in learning dynamical systems using recurrent neural networks

Face detection using neural networks and image decomposition

Neural network pruning using MV regularizer

An efficient defect compensation scheme for multi-layer neural networks on WSI devices

IJCNN '02 Author Index

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

The plastic self organising map

Content Provider	IEEE Xplore Digital Library
Author	Lang, R. Warwick, K.
Copyright Year	2002
Description	Author affiliation: Dept. of Cybern., Reading Univ., UK (Lang, R.; Warwick, K.)
Abstract	A novel extension to Kohonen's self-organising map, called the plastic self organising map (PSOM), is presented. PSOM is unlike any other network because it only has one phase of operation. The PSOM does not go through a training cycle before testing, like the SOM does and its variants. Each pattern is thus treated identically for all time. The algorithm uses a graph structure to represent data and can add or remove neurons to learn dynamic nonstationary pattern sets. The network is tested on a real world radar application and an artificial nonstationary problem.
Sponsorship	IEEE IEEE Neural Networks Soc. (NNS) Int. Neural Network Soc
Starting Page	727
Ending Page	732
File Size	401730
Page Count	6
File Format	PDF
ISBN	0780372786
ISSN	10987576
DOI	10.1109/IJCNN.2002.1005563
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-05-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Plastics Neurons Testing Artificial neural networks Clustering algorithms Cybernetics Radar applications Data visualization Labeling Neural networks
Content Type	Text
Resource Type	Article

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