Artificial Intelligence for Cognitive Modeling

Theory and Practice

This book covers both the traditional and modern uses of Artificial Intelligence and soft computing. It 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.

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.

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