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SOFT COMPUTING AND ITS APPLICATIONS
by R A Aliev & R R Aliev (Azerbaijan State Oil Academy)
The concept of soft computing is still in its initial stages of crystallization. Presently available books on soft computing are merely collections of chapters or articles about different aspects of the field. This book is the first to provide a systematic account of the major concepts and methodologies of soft computing, presenting a unified framework that makes the subject more accessible to students and practitioners. Particularly worthy of note is the inclusion of a wealth of information about neuro-fuzzy, neuro-genetic, fuzzy-genetic and neuro-fuzzy-genetic systems, with many illuminating applications and examples.
Contents:
- Aims of Soft Computing
- Foundations of Fuzzy Sets Theory
- Fuzzy
Logic
- Applications of Fuzzy Sets
- Artificial Neural Networks
- Probabilistic Reasoning
- Genetic Algorithms
- Elements of Chaos Theory
- Neuro-Fuzzy Technology
- Combination of Genetic Algorithms with Neural Networks
- Combination of Genetic Algorithms and Fuzzy Logic
- Neuro-Fuzzy-Genetic Approach
- Other Combinations of the Constituents of Soft Computing
- Soft Computing Based Distributed Intelligent Systems
Readership: Undergraduates, graduate students, researchers and practitioners
in computer science
"... this is an important, timely, carefully organized, and comprehensive treatise on soft computing that will definitely appeal to a braod audience of researchers and practioners."
| 460pp |
Pub. date: Sept 2001 |
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