Description: Non-Linear Feedback Neural Networks Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). VLSI Implementations and Applications Author(s): Mohd. Samar Ansari Format: Hardback Publisher: Springer, India, Private Ltd, India Imprint: Springer, India, Private Ltd ISBN-13: 9788132215622, 978-8132215622 Synopsis 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.
Price: 73.39 GBP
Location: Aldershot
End Time: 2025-01-20T01:08:09.000Z
Shipping Cost: 29.17 GBP
Product Images
Item Specifics
Return postage will be paid by: Buyer
Returns Accepted: Returns Accepted
After receiving the item, your buyer should cancel the purchase within: 60 days
Return policy details:
Book Title: Non-Linear Feedback Neural Networks
Number of Pages: 201 Pages
Publication Name: Non-Linear Feedback Neural Networks: Vlsi Implementations and Applications
Language: English
Publisher: Springer, India, Private LTD
Item Height: 235 mm
Subject: Engineering & Technology, Computer Science, Mathematics, Physics
Publication Year: 2013
Type: Textbook
Item Weight: 4616 g
Author: Mohd. Samar Ansari
Item Width: 155 mm
Series: Studies in Computational Intelligence
Format: Hardcover
