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Books > Computing & IT > Applications of computing > Artificial intelligence
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Hebbian Learning and Negative Feedback Networks (Hardcover, 2005 ed.)
Loot Price: R4,581
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Hebbian Learning and Negative Feedback Networks (Hardcover, 2005 ed.)
Series: Advanced Information and Knowledge Processing
Expected to ship within 10 - 15 working days
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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.
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