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Artificial Neural Nets and Genetic Algorithms Book

Artificial Neural Nets and Genetic Algorithms
Artificial Neural Nets and Genetic Algorithms, 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 a, Artificial Neural Nets and Genetic Algorithms has a rating of 3.5 stars
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Artificial Neural Nets and Genetic Algorithms, 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 a, Artificial Neural Nets and Genetic Algorithms
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  • Artificial Neural Nets and Genetic Algorithms
  • Written by author David W. Pearson
  • Published by Springer-Verlag New York, LLC, April 2003
  • 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 a
  • 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
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Book Categories

Authors

Advisory and programme committees
Validation of a RBFN Model by Sensitivity Analysis1
Generalized Recurrent Neural Networks and Continuous Dynamic Systems9
A Learning Probabilistic Neural Network with Fuzzy Inference13
Boosting Recurrent Neural Networks for Time Series Prediction18
Bounds on Rates of Approximation by Neural Networks in L[subscript p]-spaces23
On Input Discretisation Processes for Tapped Delay Neural Architecture28
An Extended Architecture of Recurrent Neural Networks That Latches Input Information33
Recurrent Neural Network with Integrated Wavelet Based Denoising Unit38
Reinforced Search in Stochastic Neural Network43
A Hybrid Algorithm for Weight and Connectivity Optimization in Feedforward Neural Networks47
Neural Network Learning as Approximate Optimization53
Binary Factorization in Hopfield-Like Neural Autoassociator: A Promising Tool for Data Compression58
[beta]öSVM: A New Support Vector Machine Kernel63
Optimal Neighbourhood and Model Quality Indicators69
Manufacturing Process Quality Control by Means of a Fuzzy ART Neural Network Algorithm74
Hybrid Models for Forecasting Air Pollution Episodes80
Influence of Language Parameters Selection on the Coarticulation of the Phonemes for Prosody Training in TTS by Neural Networks85
Vertical Vector Fields and Neural Networks: An Application in Atmospheric Pollution Forecasting91
A Systematic Method to Neural Network Modeling with Application to Sintermaking95
A Framework for Neural Quality Control Systems Design101
Prediction of Natural Gas Consumption with Feed-forward and Fuzzy Neural Networks107
Systems Identification with the GMDH Neural Networks: A Multi-dimensional Case115
Neural Network Control Approach for an Industrial Furnace121
An Inductive Inference Approach to Large Scale Text Categorisation126
The Accurate Estimation of Meteorological Profiles Employing ANNs131
Use of Neural Network for Modelling and Fault Detection for the Intake Manifold of an SI Engine138
RBFG Neural Networks for Insulation Thermal Ageing Prediction144
Meteorological Data Mining Employing Self-Organising Maps149
Artificial Intelligence Methods for Large Microsensor Arrays: Feasibility and Design154
A New Approach for On-line Visual Encoding and Recognition of Handwriting Script by Using Neural Network System161
An Immune System-Based Genetic Algorithm To Deal with Dynamic Environments: Diversity and Memory168
Improving the Genetic Algorithm's Performance when Using Transformation175
An Ant Colony Algorithm for Multiple Sequence Alignment in Bioinformatics182
The RBF-Gene Model187
Evolving Spiking Neurons Nets to Control an Animat193
Synapsing Variable Length Crossover: Biologically Inspired Crossover for Variable Length Genomes198
A Comparative Study Using Genetic Algorithms To Deal with Dynamic Environments203
Towards Building Computational Agent Schemes210
The Design of Beta Basis Function Neural Network Using Hierarchical Genetic Algorithm216
Population Learning Algorithm for Resource-Constrained Project Scheduling223
Genetic Snakes: Application on Lipreading229
Applying Genetic Algorithms to Container Transhipment234
Finding Routeways in Airframe Design Using Genetic Algorithms239
A Universal Knowledge Module and Its Applications243
Handling Categorical Data in Rule Induction249
Social Agents in Dynamic Equilibrium256
Energy Management for Hybrid Electric Vehicles Based on Fuzzy Clustering and Genetic Algorithms260


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Artificial Neural Nets and Genetic Algorithms, 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 a, Artificial Neural Nets and Genetic Algorithms

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Artificial Neural Nets and Genetic Algorithms, 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 a, Artificial Neural Nets and Genetic Algorithms

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Artificial Neural Nets and Genetic Algorithms, 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 a, Artificial Neural Nets and Genetic Algorithms

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