This revised edition of Neural Networks is an up-to-date exposition of the subject and continues to provide an understanding of the underlying geometry of foundation neural network models while stressing on heuristic explanations of theoretical results. The highlight of this book is its easy-to-read format and a balanced mix of both theory and pract…
This book is designed for the first course on Neural Networks. Integration of MATLAB throughout the book is its unique feature. Beginners to the subject will find the explanations easy to comprehend.
SALIENT FEATURES
Application of Neural Networks to areas like Bioinformatics, Robotics, Communication, Image Processing, Pattern Recognition, Con…