Artificial Neural Nets and Genetic Algorithms (eBook, PDF)

Proceedings of the International Conference in Roanne, France, 2003
Redaktion: Pearson, David W.; Albrecht, Rudolf; Steele, Nigel C.

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer Vienna
• Seitenzahl: 266
• Erscheinungstermin: 28. Juni 2011
• Englisch
• ISBN-13: 9783709106464
• Artikelnr.: 53384872

Inhaltsangabe

I - Neural Network Theory.- Validation of a RBFN Model by Sensitivity Analysis.- Generalized Recurrent Neural Networks and Continuous Dynamic Systems.- A Learning Probabilistic Neural Network with Fuzzy Inference.- Boosting Recurrent Neural Networks for Time Series Prediction.- Bounds on Rates of Approximation by Neural Networks in Lp-spaces.- On Input Discretisation Processes for Tapped Delay Neural Architecture.- An Extended Architecture of Recurrent Neural Networks That Latches Input Information.- Recurrent Neural Network with Integrated Wavelet Based Denoising Unit.- Reinforced Search in Stochastic Neural Network.- A Hybrid Algorithm for Weight and Connectivity Optimization in Feedforward Neural Networks.- Neural Network Learning as Approximate Optimization.- Binary Factorization in Hopfield-Like Neural Autoassociator: A Promising Tool for Data Compression.- ?_SVM: A New Support Vector Machine Kernel.- Optimal Neighbourhood and Model Quality Indicators.- II - Neural Network Applications.- Manufacturing Process Quality Control by Means of a Fuzzy ART Neural Network Algorithm.- Hybrid Models for Forecasting Air Pollution Episodes.- Influence of Language Parameters Selection on the Coarticulation of the Phonemes for Prosody Training in TTS by Neural Networks.- Vertical Vector Fields and Neural Networks: An Application in Atmospheric Pollution Forecasting.- A Systematic Method to Neural Network Modeling with Application to Sintermaking.- A Framework for Neural Quality Control Systems Design.- Prediction of Natural Gas Consumption with Feed-forward and Fuzzy Neural Networks.- Systems Identification with the GMDH Neural Networks: A Multi-dimensional Case.- Neural Network Control Approach for an Industrial Furnace.- An Inductive Inference Approach to Large Scale TextCategorisation.- The Accurate Estimation of Meteorological Profiles Employing ANNs.- Use of Neural Network for Modelling and Fault Detection for the Intake Manifold of an SI Engine.- RBFG Neural Networks for Insulation Thermal Ageing Prediction.- Meteorological Data Mining Employing Self-Organising Maps.- Artificial Intelligence Methods for Large Microsensor Arrays: Feasibility and Design.- A New Approach for On-line Visual Encoding and Recognition of Handwriting Script by Using Neural Network System.- III - Genetic Algorithm and Evolutionary Computation Theory.- An Immune System-Based Genetic Algorithm To Deal with Dynamic Environments: Diversity and Memory.- Improving the Genetic Algorithm's Performance when Using Transformation.- An Ant Colony Algorithm for Multiple Sequence Alignment in Bioinformatics.- The RBF-Gene Model.- Evolving Spiking Neurons Nets To Control an Animat.- Synapsing Variable Length Crossover: Biologically Inspired Crossover for Variable Length Genomes.- A Comparative Study Using Genetic Algorithms To Deal with Dynamic Environments.- Towards Building Computational Agent Schemes.- The Design of Beta Basis Function Neural Network Using Hierarchical Genetic Algorithm.- IV - Genetic Algorithm and Evolutionary Computation Applications.- Population Learning Algorithm for Resource-Constrained Project Scheduling.- Genetic Snakes: Application on Lipreading.- Applying Genetic Algorithms to Container Transhipment.- Finding Routeways in Airframe Design Using Genetic Algorithms.- V - Fuzzy and Soft Computing Theory.- A Universal Knowledge Module and Its Applications.- Handling Categorical Data in Rule Induction.- VI - Fuzzy and Soft Computing Applications.- Social Agents in Dynamic Equilibrium.- Energy Management for Hybrid Electric Vehicles Based on FuzzyClustering and Genetic Algorithms.