Artificial Intelligence for Cognitive Modeling: Theory and Practice
Pijush Dutta, Souvik Pal, Asok Kumar, Korhan Cengiz, 9781032461397, 9781003216001, 978-1-032-10570-3, 978-1-032-46139-7, 978-1-003-21600-1, 978-1032105703, 1032105704, B0BX7F21X2
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.