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Soft computing and human-centered machines

Author: Z -Q Liu; Sadaaki Miyamoto
Publisher: Tokyo ; New York : Springer, ©2000.
Series: Computer science workbench.
Edition/Format:   Print book : EnglishView all editions and formats
Database:WorldCat
Summary:
"Soft computing is a unifying framework that combines techniques in neural networks, fuzzy theory, genetic algorithms, and artificial intelligence to develop intelligent systems able to learn in dynamic, imprecise, and uncertain environments. This book explains the theory, methodology, and application aspects of human-centered systems, showing how it is possible to extend to machines such techniques as dynamic  Read more...
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Details

Genre/Form: Aufsatzsammlung
Document Type: Book
All Authors / Contributors: Z -Q Liu; Sadaaki Miyamoto
ISBN: 4431702792 9784431702795
OCLC Number: 44891787
Description: xviii, 327 pages : illustrations ; 25 cm.
Contents: 1. Introduction --
2. Multisets and Fuzzy Multisets --
3. Modal Logic, Rough Sets, and Fuzzy Sets --
4. Fuzzy Cognitive Maps: Analysis and Extensions --
5. Methods in Hard and Fuzzy Clustering --
6. Soft-Competitive Learning Paradigms --
7. Aggregation Operations for Fusing Fuzzy Information --
8. Fuzzy Gated Neural Networks in Pattern Recognition --
9. Soft Computing Technique in Kansei (Emotional) Information Processing --
10. Vagueness in Human Judgment and Decision Making --
11. Chaos and Time Series Analysis --
12. A Short Course for Fuzzy Set Theory.
Series Title: Computer science workbench.
Responsibility: Z.-Q. Liu, S. Miyamoto (eds.).
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Abstract:

This text explains the theory, methodology, and application aspects of human-centered systems, showing how it is possible to extend to machines such techniques as dynamic cognitive learning,  Read more...

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