Artificial Neural Nets and Genetic Algorithms

by Pearson, David W.; Steele, Nigel C.; Albrecht, Rudolf F.

• ISBN13: 9783211007433
• ISBN10: 3211007431
• eBook ISBN(s): 9783709106464
• Format: Paperback
• Copyright: 2003-05-01
• Publisher: Springer Verlag Wien
• More Book Details
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Summary

The papers in this volume present theoretical aspects and applications of artificial neural networks and genetic algorithms. Also included are papers on fuzzy logic, soft computing, and artificial intelligence.Fundamental issues are addressed, such as the nonlinear approximation capabilities of neural networks and formal methods of data representation with topological properties. New elements in genetic algorithms are presented, for example, crossover methods and gene representation.Papers on applications of neural networks show how successful these methods are in a wide range of fields like meteorological and atmospheric pollution forecasts, furnace control, and system identification. Genetic algorithms are used to solve optimization problems related to shipping and computer vision. Fuzzy-logic-based techniques are applied to sociodynamic models and hybrid neuro-fuzzy models.

Table of Contents

Advisory and programme committees
Validation of a RBFN Model by Sensitivity Analysis	p. 1
Generalized Recurrent Neural Networks and Continuous Dynamic Systems	p. 9
A Learning Probabilistic Neural Network with Fuzzy Inference	p. 13
Boosting Recurrent Neural Networks for Time Series Prediction	p. 18
Bounds on Rates of Approximation by Neural Networks in L[subscript p]-spaces	p. 23
On Input Discretisation Processes for Tapped Delay Neural Architecture	p. 28
An Extended Architecture of Recurrent Neural Networks That Latches Input Information	p. 33
Recurrent Neural Network with Integrated Wavelet Based Denoising Unit	p. 38
Reinforced Search in Stochastic Neural Network	p. 43
A Hybrid Algorithm for Weight and Connectivity Optimization in Feedforward Neural Networks	p. 47
Neural Network Learning as Approximate Optimization	p. 53
Binary Factorization in Hopfield-Like Neural Autoassociator: A Promising Tool for Data Compression	p. 58
[beta]oSVM: A New Support Vector Machine Kernel	p. 63
Optimal Neighbourhood and Model Quality Indicators	p. 69
Manufacturing Process Quality Control by Means of a Fuzzy ART Neural Network Algorithm	p. 74
Hybrid Models for Forecasting Air Pollution Episodes	p. 80
Influence of Language Parameters Selection on the Coarticulation of the Phonemes for Prosody Training in TTS by Neural Networks	p. 85
Vertical Vector Fields and Neural Networks: An Application in Atmospheric Pollution Forecasting	p. 91
A Systematic Method to Neural Network Modeling with Application to Sintermaking	p. 95
A Framework for Neural Quality Control Systems Design	p. 101
Prediction of Natural Gas Consumption with Feed-forward and Fuzzy Neural Networks	p. 107
Systems Identification with the GMDH Neural Networks: A Multi-dimensional Case	p. 115
Neural Network Control Approach for an Industrial Furnace	p. 121
An Inductive Inference Approach to Large Scale Text Categorisation	p. 126
The Accurate Estimation of Meteorological Profiles Employing ANNs	p. 131
Use of Neural Network for Modelling and Fault Detection for the Intake Manifold of an SI Engine	p. 138
RBFG Neural Networks for Insulation Thermal Ageing Prediction	p. 144
Meteorological Data Mining Employing Self-Organising Maps	p. 149
Artificial Intelligence Methods for Large Microsensor Arrays: Feasibility and Design	p. 154
A New Approach for On-line Visual Encoding and Recognition of Handwriting Script by Using Neural Network System	p. 161
An Immune System-Based Genetic Algorithm To Deal with Dynamic Environments: Diversity and Memory	p. 168
Improving the Genetic Algorithm's Performance when Using Transformation	p. 175
An Ant Colony Algorithm for Multiple Sequence Alignment in Bioinformatics	p. 182
The RBF-Gene Model	p. 187
Evolving Spiking Neurons Nets to Control an Animat	p. 193
Synapsing Variable Length Crossover: Biologically Inspired Crossover for Variable Length Genomes	p. 198
A Comparative Study Using Genetic Algorithms To Deal with Dynamic Environments	p. 203
Towards Building Computational Agent Schemes	p. 210
The Design of Beta Basis Function Neural Network Using Hierarchical Genetic Algorithm	p. 216
Population Learning Algorithm for Resource-Constrained Project Scheduling	p. 223
Genetic Snakes: Application on Lipreading	p. 229
Applying Genetic Algorithms to Container Transhipment	p. 234
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