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商品詳細
Artificial Intelligence for Cognitive Modeling: Theory and Practice.
・ISBN 978-1-032-46139-7 paper GB£ 49.99
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| 著者・編者 | Dutta, Pijush / Pal, Souvik / Kumar, Asok / Cengiz, Korhan, |
|---|---|
| シリーズ | (Chapman & Hall/CRC Internet of Things) |
| 出版社 | (Chapman & Hall/CRC, UK) |
| 出版年月 | 2024 |
| ページ数 | 277 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A03-79483＞ |
解説
This book is written in a clear and thorough way to cover both the traditional and modern uses of artificial intelligence and soft computing. It gives an in-depth look at mathematical models, algorithms, and real-world problems that are hard to solve in MATLAB. The book is intended to provide a broad and in-depth understanding of fuzzy logic controllers, genetic algorithms, neural networks, and hybrid techniques such as ANFIS and the GA-ANN model.
Features:
- A detailed description of basic intelligent techniques (fuzzy logic, genetic algorithm and neural network using MATLAB)
- A detailed description of the hybrid intelligent technique called the adaptive fuzzy inference technique (ANFIS)
- Formulation of the nonlinear model like analysis of ANOVA and response surface methodology
- Variety of solved problems on ANOVA and RSM
- Case studies of above mentioned intelligent techniques on the different process control systems
This book can be used as a handbook and a guide for students of all engineering disciplines, operational research areas, computer applications, and for various professionals who work in the optimization area.