Complex Adaptive Systems: Learning & Soft Computing Support Vector Fuzzy Logic

The book \"Learning and Soft Computing : Support Vector Machines, Neural Networks, and Fuzzy Logic Models\" by Vojislav Kecman is a comprehensive textbook that covers the field of learning from experimental data and soft computing. It delves into the mathematical structures such as Support Vector Machines (SVM), Neural Networks (NN), and Fuzzy Logic Systems (FLS) which underlie learning and provides a thorough introduction to these topics. The book also presents three case studies on NN-based control, financial time series analysis, and computer graphics. It provides practical examples, problem sets, and simulated experiments to help readers understand and develop SVM, NN, and FLS. The book is part of the Complex Adaptive Systems Ser. and is a valuable resource for those interested in neural networks and soft computing.