Non-Linear Feedback Neural Networks

Language: English

Published by Springer, Springer Aug 2016, 2016

8132228960 / 9788132228967

Series: Book 50 of 538 - Studies in Computational Intelligence

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This item is printed on demand - Print on Demand Titel. Neuware -This book aims to present a viable alternative to the Hopfield Neural Network (HNN) model for analog computation. It is well known the standard HNN suffers from problems of convergence to local minima, and requirement of a large number of neurons and synaptic weights. Therefore, improved solutions are needed. The non-linear synapse neural network (NoSyNN) is one such possibility and is discussed in detail in this book. This book also discusses the applications in computationally intensive tasks like graph coloring, ranking, and linear as well as quadratic programming. The material in the book is useful to students, researchers and academician working in the area of analog computation.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 224 pp. Englisch.

Seller Inventory # 9788132228967

Title
Non-Linear Feedback Neural Networks
Author
Mohd. Samar Ansari
Publisher
Springer, Springer Aug 2016
Publication year
2016
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
8132228960
ISBN 13
9788132228967
Item weight
347 grams
Dimensions
235x155x13 mm
Series
Book 50 of 538: Studies in Computational Intelligence

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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