Principles of Neurocomputing for Science & Engineering

This book is primarily intended for graduate-level neural network courses, but may be used at the undergraduate level. The textbook is designed for those who want to understand the underlying principles of artificial neural networks for neurocomputing and for those who want to be able to apply various neurocomputing techniques to solve real-world problems in science and engineering. MATLAB and the Neural Network Toolbox are used extensively to illustrate neurocomputing concepts and in problems provided at the end of each chapter.