Solutions Manual of Neural Networks and Learning Machines by Haykin & Xue | 3rd edition

$24.99

Download Solutions Manual of Neural Networks and Learning Machines 3rd Edition by Simon O. Haykin; Yanbo Xue in PDF format. This book is under the category Computers & Technology and bearing the ISBN13/ISBN10 9780131471405 . You may refer to the table below for additional details of the book.

Download Sample

Book Details

Neural Networks and Learning Machines, Third Edition is renowned for its thoroughness and readability. This well-organized and completely up-to-date text remains the most comprehensive treatment of neural networks from an engineering perspective. This is ideal for professional engineers and research scientists.
Refocused, revised and renamed to reflect the duality of neural networks and learning machines, this edition recognizes that the subject matter is richer when these topics are studied together. Ideas drawn from neural networks and machine learning are hybridized to perform improved learning tasks beyond the capability of either independently.

About the Author

imon Haykin received his B.Sc. (First-class Honours), Ph.D., and D.Sc., all in Electrical Engineering from the University of Birmingham, England. He is a Fellow of the Royal Society of Canada, and a Fellow of the Institute of Electrical and Electronics Engineers. He is the recipient of the Henry Booker Gold Medal from URSI, 2002, the Honorary Degree of Doctor of Technical Sciences from ETH Zentrum, Zurich, Switzerland, 1999, and many other medals and prizes.

He is a pioneer in adaptive signal-processing with emphasis on applications in radar and communications, an area of research which has occupied much of his professional life.

In the mid-1980s, he shifted the thrust of his research effort in the direction of Neural Computation, which was re-emerging at that time. All along, he had the vision of revisiting the ﬁelds of radar and communications from a brand new perspective.