Backpropagation: Theory, Architectures, and Applications

by Yves Chauvin

Book Overview

Composed of three sections, this book presents the most popular training algorithm for neural networks: backpropagation. The first section presents the theory and principles behind backpropagation as seen from different perspectives such as statistics, machine learning, and dynamical systems. The second presents a number of network architectures that may be designed to match the general concepts of Parallel Distributed Processing with backpropagation...

• Format: Hardcover
• Language: English
• ISBN: 080581258X
• ISBN13: 9780805812589
• Release Date: February 1995
• Publisher: Psychology Press
• Length: 574 Pages
• Weight: 2.42 lbs.
• Dimensions: 1.6" x 6.0" x 9.4"