Artificial Neural Nets and Genetic Algorithms

by Kurkova, Vera; Steele, Nigel C.; Neruda, Roman; Karny, Miroslav

• ISBN13: 9783211836514
• ISBN10: 3211836519
• eBook ISBN(s): 9783709162309
• Format: Paperback
• Copyright: 2001-06-01
• Publisher: Springer Verlag Wien
• More Book Details
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Summary

The papers in this volume present theoretical insights and reports on successful applications of articifical neural networks and genetic algorithms. A dual affinity with biology is shown as several papers deal with cognition, neurocontrol, and biologically inspired brain models and others describe successful applications of computational methods to biology and environmental science. Theoretical contributions cover a variety of topics including nonlinear approximation by feedforward networks, representation of spiking perceptrons by classical ones, recursive networks and associative memories, learning and generalization, population attractors, and proposal and analysis of new genetic operators or measures. These theoretical studies are augmented by a wide selection of application-oriented papers on topics ranging from signal processing, control, pattern recognition and times series prediction to routing tasks.To keep track of the rapid development of the field of computational intelligence, the scope of the conference has been extended to hybrid methods and tools for which neural networks and evolutionary algorithms are combined with methods of soft computing, fuzzy logic, probabilistic computing, and symbolic artificial intelligence, to computer-intensive methods in control and data processing, and to data mining in meteorology and air pollution.

Table of Contents

Advisory and Programme Committees
What Can a Neural Do without Scaling Activation Function?	p. 1
Ratio Scales Are Critical for Modeling Neural Synthesis in the Brain	p. 7
Hypermatrix of the Brain	p. 16
The Computational Capabilities of Neural Networks	p. 22
Activation Functions	p. 27
A Simulation of Spiking Neurons by Sigmoid Neurons	p. 31
Tightness of Upper Bounds on Rates of Neural-Network Approximation	p. 35
Incremental Function Approximation Based on Gram-Schmidt Orthonormalisation Process	p. 39
Wavelet Based Smoothing in Time Series Prediction with Neural Networks	p. 43
Fitting Densities and Hazard Functions with Neural Networks	p. 47
Optimization of Expensive Functions by Surrogates Created from Neural Network Ensembles	p. 51
Local-Global Neural Networks for Interpolation	p. 55
Improving the Competency of Classifiers through Data Generation	p. 59
Graded Rescaling in Hopfield Networks	p. 63
Principles of Associative Computation	p. 67
An Experimental Assessment of the Performance of Several Associative Memory Models	p. 70
Recall Time in Densely Encoded Hopfield Network: Results from KFS Theory and Computer Simulation	p. 74
On-Line Identification and Rule Extraction of Finite State Automata with Recurrent Neural Networks	p. 78
Using Decision Surface Mapping in the Automatic Recognition of Images	p. 82
Competitive Learning and Its Convergence Analysis	p. 86
Structural Information Control for Flexible Competitive Learning	p. 90
Recursive Learning Scheme for Recurrent Neural Networks Using Simultaneous Perturbation and Its Application	p. 94
Reinforcement Learning for Rule Generation	p. 98
Learning Feed-Forward Multi-Nets	p. 102
Unlearning in Feed-Forward Multi-Nets	p. 106
Context Neural Network for Temporal Correlation and Prediction	p. 110
A Pruning Self-Organizing Algorithm to Select Centers of Radial Basis Function Neural Networks	p. 114
Modular Clustering by Radial Basis Function Network for Complexity Reduction in System Modeling	p. 118
A Fuzzy Approach to Sociodynamical Interactions	p. 122
An Immunological Approach to Initialize Feedforward Neural Network Weights	p. 126
How Certain Characteristics of Cortical Frequency Representation May Influence Our Perception of Sounds	p. 130
Long Short-Term Memory Learns Context Free and Context Sensitive Languages	p. 134
An Artificial Neural Network Model Based on Neuroscience: Looking Closely at the Brain	p. 138
STARBRAIN and EUROBRAIN, Starlab's and Europe's Artificial Brain Projects: An Overview	p. 142
Application of Feature Extraction in Text-to-Speech Processing	p. 145
Gaussian Synapse Networks for Handwritten Character Recognition	p. 149
A Generic Pretreatment for Spiking Neuron Application on Lipreading with STANN (Spatio-Temporal Artificial Neural Networks)	p. 153
A Comparison of a Neural Network and an Observer Approach for Detecting Faults in a Benchmark System	p. 157
A Neuro-Fuzzy Image Analysis System for Biomedical Imaging Applications	p. 161
Real Time Identification and Control of a DC Motor Using Recurrent Neural Networks	p. 165
Recurrent Neural Networks in a Mobile Robot Navigation Task	p. 169
Angular Memory and Supervisory Modules in a Neural Architecture for Navigating NOMAD	p. 173
A Recurrent Neural Network for Controlling a Fed-Batch Fermentation of B. t.	p. 177
A Draft on Modelling the Behaviour of Bioreactor Landfill Using Neural Nets	p. 181
Neural Network Combustion Optimisation in Naantali Power Plant	p. 185
Control Sensitivity SVM for Imbalanced Data: A Case Study on Automotive Material	p. 189
Analysis of Defectoscopy Data To Be Used by Neural Classifier	p. 193
NeuroHough: A Neural Network for Computing the Hough Transform	p. 197
Fast Iris Detection Using Cooperative Modular Neural Nets	p. 201
Symbolic Representation of a Multi-Layer Perceptron	p. 205
Software Generation of Random Numbers by Using Neural Network	p. 209
FPGA Implementation of a Spike-Based Sound Localization System	p. 212
A Simulator to Parallelise Large Biologically-Inspired Artificial Neural Networks	p. 216
Time Perception and Reinforcement Learning: A Neural Network Model of Animal Experiments	p. 220
ADFs: An Evolutionary Approach to Predicate Invention	p. 224
The Convergence Behavior of the PBIL Algorithm: A Preliminary Approach	p. 228
Information Dimension of a Population's Attractor in Binary Genetic Algorithm	p. 232
An Evolutionary Approach to the Zero/One Knapsack Problem: Testing Ideas from Biology	p. 236
An Evolutionary Approach to Identification of Nonlinear Dynamic Systems	p. 240
Measures for Non-Stationary Optimization Tasks	p. 244
The True Nature of Multi-Dimensional Gaussian Mutation	p. 248
Multimodal Function Optimization Using Species Conservation	p. 252
Automatic Feature Selection by Genetic Algorithms	p. 256
Feature Subset Selection Problems: A Variable-Length Chromosome Perspective	p. 260
Mining Numeric Association Rules with Genetic Algorithms	p. 264
Takeover Times of Noisy Non-Generational Selection Rules that Undo Extinction	p. 268
Evolutionary Algorithms Aided by Sensitivity Information	p. 272
Ants and Graph Coloring	p. 276
Evolutionary Optimization of a Wavelet Classifier for the Categorization of Beat-to-Beat Variability Signals	p. 280
Genetic Implementation of a Classifier Based on Data Separation by Means of Hyperspheres	p. 284
Evolving Order Statistics Filters for Image Enhancement	p. 288
GA-Based Non-linear Harmonic Estimation	p. 292
Scheduling Multiprocessor Tasks with Correlated Failures Using Population Learning Algorithm	p. 296
Fuzzy Availability Agent in a Virtual Environment	p. 300
The Flowering of Fuzzy CoCo: Evolving Fuzzy Iris Classifiers	p. 304
Genetic Algorithm Based Parameters Identification for Power Transformer Thermal Overload Protection	p. 308
Optimal Municipal Bus Routing Using a Genetic Algorithm	p. 312
Rostering with a Hybrid Genetic Algorithm	p. 316
Design of Discrete Non-Linear Two-Degrees-of-Freedom PID Controllers Using Genetic Algorithms	p. 320
Modification of the Particle Swarm Optimizer for Locating All the Global Minima	p. 324
Computational Issues in Model Predictive Control	p. 328
Motor Control Using Adaptive Time-Delay Learning	p. 332
Computer Aided Prototyping of Repetitive Distributed Control	p. 336
On Structure of Local Models for Hybrid Controllers	p. 340
Cerebellar Climbing Fibers Anticipate Error in Motor Performance	p. 344
Model of Neurocontrol of Anthropomorphic Systems	p. 348
A Neural Model for Animats Brain	p. 352
A Fuzzy Logic System Applied in Lightning Models	p. 356
Multi-Agent Environment for Hybrid AI Models	p. 359
Using Neural Networks and Genetic Algorithms as Building Blocks for Artificial Life Simulations	p. 363
A Hybrid Intelligent System for Image Matching, Used as Preprocessing for Signature Verification	p. 367
A GA-ANN for the Eulerian Cycle Problem	p. 371
Design of RBF Networks by Cooperative/Competitive Evolution of Units	p. 375
Avoiding Local Minima in ANN by Genetic Evolution	p. 379
A Genetic Designed Beta Basis Function Neural Network for Approximating Multi-Variables Functions	p. 383
Optimization with Implicitly Known Objective Functions Using RBF Networks and Genetic Algorithms	p. 387
Hybrid Model of Cooling Tower Based on First Principles and Neural Networks	p. 391
Dynamic Handwriting Recognition Based on an Evolutionary Neural Classifier	p. 394
Initial Description of Multi-Modal Dynamic Models	p. 398
Factorized EM Algorithm for Mixture Estimation	p. 402
Number of Components and Initialization in Gaussian Mixture Model for Pattern Recognition	p. 406
Parallel Factorised Algorithms for Mixture Estimation	p. 410
Method for Artefact Detection and Suppression Using Alpha-Stable Distributions	p. 414
Model Selection with Small Samples	p. 418
A Data-Reusing Stochastic Approximation Algorithm for Neural Adaptive Filters	p. 422
Robust On-Line Statistical Learning	p. 426
Efficient Sequential Minimal Optimisation of Support Vector Classifiers	p. 430
Model Selection for Support Vector Machines via Adaptive Step-Size Tabu Search	p. 434
Data Clustering Based on a New Objective Function	p. 438
Dynamical Cluster Analysis for the Detection of Microglia Activation	p. 442
Interpretation of Event-Related fMRI Using Cluster Analysis	p. 446
A Special-Purpose Neural Network Recogniser To Detect Non-Random Pattern on Control Charts	p. 449
Data Mining and Automation of Experts Decision Process Applied to Machine Design for Furniture Production	p. 453
Estimating Hourly Solar Radiation on Tilted Surface via ANNs	p. 457
On the Typology of Daily Courses of Tropospheric Ozone Concentrations	p. 461
GUHA Analysis of Air Pollution Data	p. 465
Application of the Surrogate Test to Detect Dynamic Non-Linearity in Ground-Level Ozone Time-Series from Berlin	p. 469
Nonlinearity and Prediction of Air Pollution	p. 473
On Nonlinear Processing of Air Pollution Data	p. 477
On Predictability of Atmospheric Pollution Time Series	p. 481
Estimating the Costs Associated with Worthwhile Predictions of Poor Air Quality	p. 485
Modelling Air Pollution Time-Series by Using Wavelet Functions and Genetic Algorithms	p. 489
Predicting Daily Average SO[subscript 2] Concentrations in the Industrial Area of Syracuse (Italy)	p. 493
Forecasting of Air Pollution at Unmonitored Sites	p. 497
Applications of Neural Networks in Processing and Regionalization of Radiation Data	p. 501
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