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:
- 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.
- | Author: Asok Kumar, Souvik Pal, Pijush Dutta, Korhan Cengiz
- | Publisher: Taylor & Francis Ltd
- | Publication Date: Apr 19, 2023
- | Number of Pages:
- | Language:
- | Binding: Hardback
- | ISBN-13: 9781032105703
- | ISBN-10: 1032105704
