Artificial Neural Nets and Genetic Algorithms: Proceedings of the 6th International Conference in Roanne, France, 2003

The 2003 edition of ICANNGA marks a milestone in this conference series, because it is the tenth year of its existence. The series began in 1993 with the inaugural conference at Innsbruck in Austria. At that first conference, the organisers decided to organise a similar scientific meeting every two years. As a result, conferences were organised at Ales in France (1995), Norwich in England (1997), Portoroz in Slovenia (1999) and Prague in the Czech Republic (2001). It is a great honour that the conference is taking place in France for the second time. Each edition of ICANNGA has been special and had its own character. Not only that, participants have been able to sample the life and local culture in five different European coun­ tries. Originally limited to neural networks and genetic algorithms the conference has broadened its outlook over the past ten years and now includes papers on soft computing and artificial intelligence in general. This is one of the reasons why the reader will find papers on fuzzy logic and various other topics not directly related to neural networks or genetic algorithms included in these proceedings. We have, however, kept the same name, "International Conference on Artificial Neural Networks and Genetic Algorithms". All of the papers were sorted into one of six principal categories: neural network theory, neural network applications, genetic algorithm and evolutionary computation theory, genetic algorithm and evolutionary computation applications, fuzzy and soft computing theory, fuzzy and soft computing applications. Front Matter....Pages I-X Validation of a RBFN Model by Sensitivity Analysis....Pages 1-8 Generalized recurrent neural networks and continuous dynamic systems....Pages 9-12 A learning probabilistic neural network with fuzzy inference....Pages 13-17 Boosting Recurrent Neural Networks for Time Series Prediction....Pages 18-22 Bounds on Rates of Approximation by Neural Networks in L p -spaces....Pages 23-27 On input discretisation processes for tapped delay neural architecture....Pages 28-32 An extended architecture of recurrent neural networks that latches input information....Pages 33-37 Recurrent neural network with integrated wavelet based denoising unit....Pages 38-42 Reinforced Search in Stochastic Neural Network....Pages 43-46 A hybrid algorithm for weight and connectivity optimization in feedforward neural networks....Pages 47-52 Neural network learning as approximate optimization....Pages 53-57 Binary Factorization in Hopfield-Like Neural Autoassociator: A Promising Tool for Data Compression....Pages 58-62 β_SVM a new Support Vector Machine kernel....Pages 63-68 Optimal neighbourhood and model quality indicators....Pages 69-73 Manufacturing process quality control by means of a Fuzzy ART neural network algorithm....Pages 74-79 Hybrid Models for Forecasting Air Pollution Episodes....Pages 80-84 Influence of Language Parameters Selection on the Coarticulation of the Phonemes for Prosody Training in TTS by Neural Networks....Pages 85-90 Vertical Vector Fields and Neural Networks: An Application in Atmospheric Pollution Forecasting....Pages 91-94 A systematic method to neural network modeling with application to sintermaking....Pages 95-100 A framework for neural quality control systems design....Pages 101-106 Prediction of natural gas consumption with feed-forward and fuzzy neural networks....Pages 107-114 Systems identification with GMDH neural networks: a multi-dimensional case....Pages 115-120 Neural Network Control Approach for an Industrial Furnace....Pages 121-125 An Inductive Inference Approach to Large Scale Text Categorisation....Pages 126-130 The accurate estimation of meteorological profiles employing ANNs....Pages 131-137 Use of Neural Networks for Modelling and Fault Detection for the Intake Manifold of a SI Engine....Pages 138-143 RBFG Neural Networks for Insulation Thermal Ageing Prediction....Pages 144-148 Meteorological data mining employing Self-Organising Maps....Pages 149-153 Artificial Intelligence methods for large microsensor arrays : feasibility and design....Pages 154-160 A new approach for on-line visual encoding and recognition of handwriting script by using neural network system....Pages 161-167 An Immune System-Based Genetic Algorithm to Deal with Dynamic Environments: Diversity and Memory....Pages 168-174 Improving the Genetic Algorithm’s Performance when Using Transformation....Pages 175-181 An ant colony algorithm for multiple sequence alignment in bioinformatics....Pages 182-186 The RBF-Gene Model....Pages 187-192 Evolving spiking neurons nets to control an animat....Pages 193-197 Synapsing Variable Length Crossover: Biologically Inspired Crossover for Variable Length Genomes....Pages 198-202 A Comparative Study Using Genetic Algorithms to Deal with Dynamic Environments....Pages 203-209 Towards building computational agent schemes....Pages 210-215 The Design of Beta Basis Function Neural Network Using Hierarchical Genetic Algorithm....Pages 216-222 Population Learning Algorithm for Resource-Constrained Project Scheduling....Pages 223-228 Genetic Snakes: Application on Lipreading....Pages 229-233 Applying Genetic Algorithms to Container Transhipment....Pages 234-238 Finding routeways in airframe design using genetic algorithms....Pages 239-242 A Universal Knowledge Module and its Applications....Pages 243-248 Handling categorical data in rule induction....Pages 249-255 Social Agents in Dynamic Equilibrium....Pages 256-259 Energy Management for Hybrid Electric Vehicles based on Fuzzy Clustering and Genetic Algorithms....Pages 260-266

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.

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