Computational Intelligence: Soft Computing and Fuzzy-Neuro Integration with Applications / Edition 1

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Overview

Soft computing is a consortium of computing methodologies that provide a foundation for the conception, design, and deployment of intelligent systems and aims to formalize the human ability to make rational decisions in an environment of uncertainty and imprecision. This book is based on a NATO Advanced Study Institute held in 1996 on soft computing and its applications. The distinguished contributors consider the principal constituents of soft computing, namely fuzzy logic, neurocomputing, genetic computing, and probabilistic reasoning, the relations between them, and their fusion in industrial applications. Two areas emphasized in the book are how to achieve a synergistic combination of the main constituents of soft computing and how the combination can be used to achieve a high Machine Intelligence Quotient.

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Product Details

  • ISBN-13: 9783540640042
  • Publisher: Springer Berlin Heidelberg
  • Publication date: 10/1/1998
  • Series: Nato ASI Subseries F: (closed) , #162
  • Edition description: 1998
  • Edition number: 1
  • Pages: 542
  • Product dimensions: 9.21 (w) x 6.14 (h) x 1.19 (d)

Table of Contents

Preface
Roles of Soft Computing and Fuzzy Logic in the Conception, Design and Deployment of Information/Intelligent Systems 1
Computational Intelligence Defined - By Everyone! 10
Computational Intelligence: Extended Truth Tables and Fuzzy Normal Forms 38
Uncertainty Theories by Modal Logic 60
Sup-T Equations: State of the Art 80
Measures of Specificity 94
What's in a Fuzzy Membership Value? 114
New Types of Generalized Operations 128
Intelligent Fuzzy System Modeling 157
Fuzzy Inference Systems: A Critical Review 177
Fuzzy Decision Support Systems 198
Neuro-Fuzzy Systems 230
Fuzzified Petri-Nets and Their Application to Organising Supervisory Controller 260
A Review of Neural Networks with Direct Learning Based on Linear or Non-linear Threshold Logics 283
The Morphogenetic Neuron 304
Boolean Soft Computing by Non-linear Neural Networks with Hyperincursive Stack Memory 333
Using Competitive Learning Models for Multiple Prototype Classifier Design 352
Fuzzy Data Analysis 381
Probabilistic and Possibilistic Networks and How To Learn Them from Data 403
Image Pattern Recognition Based on Fuzzy Technology 427
Fuzzy Sets and the Management of Uncertainty in Computer Vision 434
Intelligent Robotic Systems Based on Soft Computing - Adaptation, Learning and Evolution 450
Hardware and Software Architectures for Soft Computing 482
Fuzzy Logic Control for Design and Control of Manufacturing Systems 496
Applications of Intelligent Multiobjective Fuzzy Decision Making 514
A Product Life Cycle Information Management System Infrastructure with CAD/CAE/CAM, Task Automation, and Intelligent Support Capabilities 521
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