Artificial Intelligence for Cognitive Modeling

<p>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.</p><p><strong>Features:</strong></p><ul> <li>A detailed description of basic intelligent techniques (fuzzy logic genetic algorithm and neural network using MATLAB)</li> <li>A detailed description of the hybrid intelligent technique called the adaptive fuzzy inference technique (ANFIS)</li> <li>Formulation of the nonlinear model like analysis of ANOVA and response surface methodology</li> <li>Variety of solved problems on ANOVA and RSM</li> <li>Case studies of above mentioned intelligent techniques on the different process control systems</li> </ul><p>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.</p>