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Books > Professional & Technical > Energy technology & engineering > Electrical engineering
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Multi-Valued and Universal Binary Neurons - Theory, Learning and Applications (Paperback, Softcover reprint of hardcover 1st ed. 2000)
Loot Price: R4,348
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Multi-Valued and Universal Binary Neurons - Theory, Learning and Applications (Paperback, Softcover reprint of hardcover 1st ed. 2000)
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Multi-Valued and Universal Binary Neurons deals with two new types
of neurons: multi-valued neurons and universal binary neurons.
These neurons are based on complex number arithmetic and are hence
much more powerful than the typical neurons used in artificial
neural networks. Therefore, networks with such neurons exhibit a
broad functionality. They can not only realise threshold
input/output maps but can also implement any arbitrary Boolean
function. Two learning methods are presented whereby these networks
can be trained easily. The broad applicability of these networks is
proven by several case studies in different fields of application:
image processing, edge detection, image enhancement, super
resolution, pattern recognition, face recognition, and prediction.
The book is hence partitioned into three almost equally sized
parts: a mathematical study of the unique features of these new
neurons, learning of networks of such neurons, and application of
such neural networks. Most of this work was developed by the first
two authors over a period of more than 10 years and was only
available in the Russian literature. With this book we present the
first comprehensive treatment of this important class of neural
networks in the open Western literature. Multi-Valued and Universal
Binary Neurons is intended for anyone with a scholarly interest in
neural network theory, applications and learning. It will also be
of interest to researchers and practitioners in the fields of image
processing, pattern recognition, control and robotics.
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