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Mohd. Samar Ansari - Non-Linear Feedback Neural Networks - 9788132228967 - V9788132228967
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Non-Linear Feedback Neural Networks

€ 127.73
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Description for Non-Linear Feedback Neural Networks Paperback. This book details the non-linear synapse neural network (NoSyNN). It also discusses the applications in computationally intensive tasks like graph coloring, ranking, and linear as well as quadratic programming. Series: Studies in Computational Intelligence. Num Pages: 223 pages, 79 black & white illustrations, 28 black & white tables, biography. BIC Classification: PBWH; TJF; TJFC; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 12. Weight in Grams: 349.
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 ... Read more

Product Details

Format
Paperback
Publication date
2016
Publisher
Springer, India, Private Ltd India
Number of pages
223
Condition
New
Series
Studies in Computational Intelligence
Number of Pages
201
Place of Publication
New Delhi, India
ISBN
9788132228967
SKU
V9788132228967
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About Mohd. Samar Ansari
Dr. Mohammad Samar Ansari is an Assistant Professor of the Department of Electronics Engineering at Aligarh Muslim University, Aligarh, India. Before this he worked at the same university as a Lecturer and Guest Faculty from September 2004. Dr. Ansari also worked with Defense Research Development Organization (DRDO) and Siemens Limited during the years 2001–2003. He obtained PhD in 2012 (thesis ... Read more

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