Simulating Neural Networks with Mathematica

By James A. Freeman

This book introduces neural networks, their operation and their application, in the context of Mathematica, a mathematical programming language. Readers will learn how to simulate neural network operations using Mathematica and will learn techniques for employing Mathematics to assess neural network behaviour and performance. It shows how this popular and widely available software con be used to explore neural network technology, experiment with various architectures, debug new training algorithms and design techniques for analyzing network performance. This description may be from another edition of this product.

• Format: Paperback
• Language: English
• ISBN: 020156629X
• ISBN13: 9780201566291
• Release Date: March 1993
• Publisher: Addison-Wesley Professional
• Length: 352 Pages
• Weight: 1.35 lbs.
• Dimensions: 0.8" x 6.6" x 9.5"