Artificial Intelligence for Cognitive Modeling

Theory and Practice

Korhan Cengiz author Souvik Pal author Pijush Dutta author Asok Kumar author

Format:Hardback

Publisher:Taylor & Francis Ltd

Published:19th Apr '23

Currently unavailable, and unfortunately no date known when it will be back

Artificial Intelligence for Cognitive Modeling cover

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.

ISBN: 9781032105703

Dimensions: unknown

Weight: 720g

277 pages