Artificial Intelligence for Cognitive Modeling: Theory and Practice

by Pijush Dutta, Souvik Pal, Asok Kumar

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.






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.

277 pages, Kindle Edition

Published April 19, 2023

Reviews

[LaShana Claude]

discusses the overview of intelligent systems and soft computing. This demonstrates the scope of their application in real-world problems with complex systems. It highlights the historical development and how it was polarized in different domains. This chapter addresses different software tools that enable decision makers to draw on the knowledge and decision processes of experts in making decisions.