Artificial Intelligence for Cognitive Modeling

Theory and Practice

Pijush Dutta, Souvik Pal, Asok Kumar, Korhan Cengiz

• Publisher: Chapman and Hall/CRC
• Year: 2023
• Print ISBN: 9781032105703
• eBook ISBN: 9781000864243
• Topic: Computer Science
• Subtopic: Artificial Intelligence (AI) & Semantics
• Index: Computer Science

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.

Table of contents

• Cover Page
• Half Title page
• Series Page
• Title Page
• Copyright Page
• Contents
• Preface
• Acknowledgment
• Authors
• Part A Artificial Intelligence and Cognitive Computing: Theory and Concept
• Part B Artificial Intelligence and Cognitive Computing: Practices
• Index