Kecman has many years of teaching and research experience, so naturally he does an excellent job of presenting the essence of learning and soft computing using neural networks, fuzzy logic, and statistics.
Zoran Gajic, Department of Electrical and Computer Engineering, Rutgers University
This book provides an excellent in-depth description of modern learning and soft computing methodologies. Accompanying software implementation of learning algorithms makes this text especially valuable for practitioners and graduate students interested in applications of predictive learning.
Vladimir Cherkassky, Department of Electrical and Computer Engineering, University of Minnesota, Twin Cities
This outstanding volume unifies the concepts of learning, neural networks, support vector machines, and fuzzy logic! It offers a clear presentation and numerous examples followed by end-of-chapter problems. These things along with the accompanying software make the book a favorite candidate for the leading academic text and an indispensable reference for soft computing professionals.
Jacek M. Zurada, S.T. Fife Professor of Electrical and Computer Engineering, University of Louisville, and Editor-in-Chief, IEEE Transactions on Neural Networks
