Artificial Intelligence for Cognitive Modeling: Theory and Practice

This book provides a comprehensive and in-depth understanding of artificial intelligence and soft computing, covering traditional and modern applications, mathematical models, algorithms, and real-world problems. It offers a detailed description of fuzzy logic controllers, genetic algorithms, neural networks, and hybrid techniques such as ANFIS and the GA-ANN model. It is intended for students, engineers, operational research areas, computer applications, and professionals in the optimization area.

Format: Hardback
Length: 277 pages
Publication date: 19 April 2023
Publisher: Taylor & Francis Ltd

This comprehensive book delves into the intricate world of artificial intelligence and soft computing, offering a thorough exploration of their traditional and modern applications. It provides a deep dive into mathematical models, algorithms, and real-world challenges that often pose significant difficulties in MATLAB. With its primary goal of imparting a broad and in-depth understanding of fuzzy logic controllers, genetic algorithms, neural networks, and hybrid techniques like ANFIS and the GA-ANN model, this text serves as a valuable resource for students, engineers, operational research professionals, and anyone involved in the field of optimization.

The book begins by introducing fundamental intelligent techniques, including fuzzy logic, genetic algorithms, and neural networks, utilizing MATLAB as the platform. It then delves into the realm of hybrid intelligent techniques, specifically focusing on the adaptive fuzzy inference technique (ANFIS). The book comprehensively covers the formulation of nonlinear models, such as analysis of variance (ANOVA) and response surface methodology (RSM). Numerous solved problems on ANOVA and RSM are presented, accompanied by case studies that illustrate the practical application of these intelligent techniques in various process control systems.

Designed as a handbook and a guide, this book caters to students across all engineering disciplines, operational research areas, computer applications, and professionals engaged in optimization. Its clear and concise writing style, accompanied by detailed illustrations and examples, makes it accessible to a wide audience. Whether you are a novice seeking to gain a foundational understanding of AI and soft computing or an experienced professional looking to expand your knowledge and expertise, this book will be an invaluable resource for your journey.

Weight: 684g
Dimension: 183 x 261 x 23 (mm)
ISBN-13: 9781032105703