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Artificial Neural Nets and Genetic Algorithms

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Table of Contents

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    Book Overview
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    Chapter 1 Validation of a RBFN Model by Sensitivity Analysis
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    Chapter 2 Generalized recurrent neural networks and continuous dynamic systems
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    Chapter 3 A learning probabilistic neural network with fuzzy inference
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    Chapter 4 Boosting Recurrent Neural Networks for Time Series Prediction
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    Chapter 5 Bounds on Rates of Approximation by Neural Networks in L p -spaces
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    Chapter 6 On input discretisation processes for tapped delay neural architecture
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    Chapter 7 An extended architecture of recurrent neural networks that latches input information
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    Chapter 8 Recurrent neural network with integrated wavelet based denoising unit
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    Chapter 9 Reinforced Search in Stochastic Neural Network
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    Chapter 10 A hybrid algorithm for weight and connectivity optimization in feedforward neural networks
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    Chapter 11 Neural network learning as approximate optimization
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    Chapter 12 Binary Factorization in Hopfield-Like Neural Autoassociator: A Promising Tool for Data Compression
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    Chapter 13 β_SVM a new Support Vector Machine kernel
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    Chapter 14 Optimal neighbourhood and model quality indicators
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    Chapter 15 Manufacturing process quality control by means of a Fuzzy ART neural network algorithm
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    Chapter 16 Hybrid Models for Forecasting Air Pollution Episodes
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    Chapter 17 Influence of Language Parameters Selection on the Coarticulation of the Phonemes for Prosody Training in TTS by Neural Networks
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    Chapter 18 Vertical Vector Fields and Neural Networks: An Application in Atmospheric Pollution Forecasting
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    Chapter 19 A systematic method to neural network modeling with application to sintermaking
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    Chapter 20 A framework for neural quality control systems design
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    Chapter 21 Prediction of natural gas consumption with feed-forward and fuzzy neural networks
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    Chapter 22 Systems identification with GMDH neural networks: a multi-dimensional case
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    Chapter 23 Neural Network Control Approach for an Industrial Furnace
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    Chapter 24 An Inductive Inference Approach to Large Scale Text Categorisation
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    Chapter 25 The accurate estimation of meteorological profiles employing ANNs
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    Chapter 26 Use of Neural Networks for Modelling and Fault Detection for the Intake Manifold of a SI Engine
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    Chapter 27 RBFG Neural Networks for Insulation Thermal Ageing Prediction
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    Chapter 28 Meteorological data mining employing Self-Organising Maps
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    Chapter 29 Artificial Intelligence methods for large microsensor arrays : feasibility and design
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    Chapter 30 A new approach for on-line visual encoding and recognition of handwriting script by using neural network system
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    Chapter 31 An Immune System-Based Genetic Algorithm to Deal with Dynamic Environments: Diversity and Memory
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    Chapter 32 Improving the Genetic Algorithm’s Performance when Using Transformation
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    Chapter 33 An ant colony algorithm for multiple sequence alignment in bioinformatics
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    Chapter 34 The RBF-Gene Model
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    Chapter 35 Evolving spiking neurons nets to control an animat
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    Chapter 36 Synapsing Variable Length Crossover: Biologically Inspired Crossover for Variable Length Genomes
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    Chapter 37 A Comparative Study Using Genetic Algorithms to Deal with Dynamic Environments
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    Chapter 38 Towards building computational agent schemes
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    Chapter 39 The Design of Beta Basis Function Neural Network Using Hierarchical Genetic Algorithm
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    Chapter 40 Population Learning Algorithm for Resource-Constrained Project Scheduling
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    Chapter 41 Genetic Snakes: Application on Lipreading
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    Chapter 42 Applying Genetic Algorithms to Container Transhipment
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    Chapter 43 Finding routeways in airframe design using genetic algorithms
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    Chapter 44 A Universal Knowledge Module and its Applications
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    Chapter 45 Handling categorical data in rule induction
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    Chapter 46 Social Agents in Dynamic Equilibrium
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    Chapter 47 Energy Management for Hybrid Electric Vehicles based on Fuzzy Clustering and Genetic Algorithms
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Citations

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Title
Artificial Neural Nets and Genetic Algorithms
Published by
Springer Science & Business Media, April 2003
DOI 10.1007/978-3-7091-0646-4
ISBNs
978-3-21-100743-3, 978-3-70-910646-4
Editors

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

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 67%
Professor > Associate Professor 1 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 33%
Earth and Planetary Sciences 1 33%
Unknown 1 33%