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Hebbian Learning and Negative Feedback Networks (Hardcover, 2005 ed.) Loot Price: R4,581
Discovery Miles 45 810
Hebbian Learning and Negative Feedback Networks (Hardcover, 2005 ed.): Colin Fyfe

Hebbian Learning and Negative Feedback Networks (Hardcover, 2005 ed.)

Colin Fyfe

Series: Advanced Information and Knowledge Processing

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Loot Price R4,581 Discovery Miles 45 810 | Repayment Terms: R429 pm x 12*

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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.

General

Imprint: Springer London
Country of origin: United Kingdom
Series: Advanced Information and Knowledge Processing
Release date: 2005
First published: 2005
Authors: Colin Fyfe
Dimensions: 235 x 155 x 28mm (L x W x T)
Format: Hardcover
Pages: 383
Edition: 2005 ed.
ISBN-13: 978-1-85233-883-1
Categories: Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 1-85233-883-0
Barcode: 9781852338831

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