NEURO FUZZY AND SOFT COMPUTING A COMPUTATIONAL APPROACH TO LEARNING AND MACHINE INTELLIGENCE

By:

JANG, J S.R

Contributor(s):

Material type: Text

TextPublication details: NEW DELHI PEARSON EDUCATION ASIA 1997Edition: 1STDescription: 638P. PaperbackISBN:

9788131711095

Subject(s):

COMPUTER SCIENCE

DDC classification:

006.3 JAN

Online resources:

Click here to access online

Contents:

Computing Regression Optimization Neural Networks Genetic Algorithms Fuzzy Set Theory Fuzzy Rules Fuzzy Reasoning Fuzzy Inference System Least Square Method Derivative Based Optimization Derivative Free Optimization Learning Neural Networks Unsupervised Learning Neuro Fuzzy Modeling Classification Tree Regression Tree Data Clustering Algorithms Rulebase Structure Identification Nero Fuzzy Control ANFIS Applications Fuzzy Filtered Neural Networks Game Playing Color Recipe Prediction

Summary: This text provides the first comprehensive treatment of the methodologies underlying neuro-fuzzy and soft computing, an evolving branch within the scope of computational intelligence. The book places equal emphasis on theoretical aspects of covered methodologies, empirical observations and verifications of various applications in practice.

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Books	Tolani Maritime Institute	006.3 JAN (Browse shelf(Opens below))	Available		M09895

O:00198 19-MAR-2009 B:41470 19-MAR-2009

Computing
Regression
Optimization
Neural Networks
Genetic Algorithms
Fuzzy Set Theory
Fuzzy Rules
Fuzzy Reasoning
Fuzzy Inference System
Least Square Method
Derivative Based Optimization
Derivative Free Optimization
Learning Neural Networks
Unsupervised Learning
Neuro Fuzzy Modeling
Classification Tree
Regression Tree
Data Clustering Algorithms
Rulebase Structure Identification
Nero Fuzzy Control
ANFIS Applications
Fuzzy Filtered Neural Networks
Game Playing
Color Recipe Prediction

This text provides the first comprehensive treatment of the methodologies underlying neuro-fuzzy and soft computing, an evolving branch within the scope of computational intelligence. The book places equal emphasis on theoretical aspects of covered methodologies, empirical observations and verifications of various applications in practice.

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