(0)
 
Hebbian Learning and Negative Feedback Networks
by Colin Fyfe and C. Fyfe

Overview - This book is the outcome of a decade s research into a speci?c architecture and associated learning mechanism for an arti?cial neural network: the - chitecture involves negative feedback and the learning mechanism is simple Hebbian learning. The research began with my own thesis at the University of Strathclyde, Scotland, under Professor Douglas McGregor which culminated with me being awarded a PhD in 1995 52], the title of which was Negative Feedback as an Organising Principle for Arti?cial Neural Networks .  Read more...

 
Hardcover
  • $189.00

Add to Cart + Add to Wishlist

In Stock. Usually ships within 24 hours.

This item is Non-Returnable.
Free Shipping is not available for this item.

Not a member? Join Today!
 
 
New & Used Marketplace 13 copies from $100.95
 
 
 
 

More About Hebbian Learning and Negative Feedback Networks by Colin Fyfe; C. Fyfe
 
 
 
Overview
This book is the outcome of a decade s research into a speci?c architecture and associated learning mechanism for an arti?cial neural network: the - chitecture involves negative feedback and the learning mechanism is simple Hebbian learning. The research began with my own thesis at the University of Strathclyde, Scotland, under Professor Douglas McGregor which culminated with me being awarded a PhD in 1995 52], the title of which was Negative Feedback as an Organising Principle for Arti?cial Neural Networks . Naturally enough, having established this theme, when I began to sup- vise PhD students of my own, we continued to develop this concept and this book owes much to the research and theses of these students at the Applied Computational Intelligence Research Unit in the University of Paisley. Thus we discuss work from Dr. Darryl Charles 24] in Chapter 5. Dr. Stephen McGlinchey 127] in Chapter 7. Dr. Donald MacDonald 121] in Chapters 6 and 8. Dr. Emilio Corchado 29] in Chapter 8. We brie?y discuss one simulation from the thesis of Dr. Mark Girolami 58] in Chapter 6 but do not discuss any of the rest of his thesis since it has already appeared in book form 59]. We also must credit Cesar Garcia Osorio, a current PhD student, for the comparative study of the two Exploratory Projection Pursuit networks in Chapter 8. All of Chapters 3 to 8 deal with single stream arti?cial neural networks."


This item is Non-Returnable.

 
Details
  • ISBN-13: 9781852338831
  • ISBN-10: 1852338830
  • Publisher: Springer
  • Publish Date: January 2005
  • Page Count: 383

Series: Advanced Information and Knowledge Processing

Related Categories

Books > Computers & Internet > Computer Science
Books > Computers & Internet > Intelligence (AI) & Semantics
Books > Computers & Internet > Computer Simulation

 
BAM Customer Reviews

DISCUSSION