Multi Dimensional Neural Networks-unified Theory

 
9788122422283: Multi Dimensional Neural Networks-unified Theory
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1.

G. Rama Murthy
Published by New Age International (P) Limited (2007)
ISBN 10: 8122422284 ISBN 13: 9788122422283
New Softcover First Edition Quantity Available: > 20
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BookVistas
(New Delhi, DELHI, India)
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Book Description New Age International (P) Limited, 2007. Softcover. Condition: New. First edition. The book ``Multidimensional Neural Networks (MDNNs): Unified Theory`` has been conceived for serving 3 types of users: Senior undergraduate/graduate students, practising engineers, and advanced neural network researchers. This book is based on the following innovations: * Multidimensional (M-D) logic theory i.e., conceiving logic gates/circuits operating on multidimensional arrays * Tensor state space representation of certain M-D systems * Relation M-D logic gates, M-D codeword tensors, M-D optimal control tensors to M-D neural networks unification * Novel complex valued associative memory (CVNN) on the hypercube * Novel models of biological neurons such as those with a linear filter model of synapse * Neural network based signal processing The subject of M-D neural networks will have the applications in: # Design of versatile associative memories, # Optimal design of intelligent systems, # Pattern recognition systems etc. Printed Pages: 168. Seller Inventory # 25162

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2.

G. Rama Murthy
Published by New Age International (P) Limited (2007)
ISBN 10: 8122422284 ISBN 13: 9788122422283
New Softcover First Edition Quantity Available: > 20
Seller:
A - Z Books
(New Delhi, DELHI, India)
Rating
[?]

Book Description New Age International (P) Limited, 2007. Softcover. Condition: New. First edition. The book ``Multidimensional Neural Networks (MDNNs): Unified Theory`` has been conceived for serving 3 types of users: Senior undergraduate/graduate students, practising engineers, and advanced neural network researchers. This book is based on the following innovations: * Multidimensional (M-D) logic theory i.e., conceiving logic gates/circuits operating on multidimensional arrays * Tensor state space representation of certain M-D systems * Relation M-D logic gates, M-D codeword tensors, M-D optimal control tensors to M-D neural networks unification * Novel complex valued associative memory (CVNN) on the hypercube * Novel models of biological neurons such as those with a linear filter model of synapse * Neural network based signal processing The subject of M-D neural networks will have the applications in: # Design of versatile associative memories, # Optimal design of intelligent systems, # Pattern recognition systems etc. Printed Pages: 168. Seller Inventory # 25162

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