Description
| Product ID: | 9781032105703 |
| Product Form: | Hardback |
| Country of Manufacture: | GB |
| Series: | Chapman & Hall/CRC Internet of Things |
| Title: | Artificial Intelligence for Cognitive Modeling |
| Subtitle: | Theory and Practice |
| Authors: | Author: Asok Kumar, Souvik Pal, Pijush Dutta, Korhan Cengiz |
| Page Count: | 277 |
| Subjects: | Electrical engineering, Electrical engineering, Automatic control engineering, Environmental science, engineering and technology, Artificial intelligence, Automatic control engineering, Environmental science, engineering & technology, Artificial intelligence |
| Description: | This book covers both the traditional and modern uses of Artificial Intelligence and soft computing. It 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. 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:
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. |
| Imprint Name: | Chapman & Hall/CRC |
| Publisher Name: | Taylor & Francis Ltd |
| Country of Publication: | GB |
| Publishing Date: | 2023-04-19 |
