Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models

Written for senior-level undergraduates, graduate students, and practicing engineers and scientists, this textbook provides an introduction to, as well as a detailed presentation of, the field of learning from experimental data and soft computing. The fundamental approaches and concepts common to neural networks, support vector machines, and fuzzy logic are discussed individually and as a connected whole. The theory presented in each chapter is reinforced with practical examples, exercises, and simulation experiments.