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عنوان
Non-linear feedback neural networks

پدید آورنده
/ Mohd. Samar Ansari

موضوع
Neural networks (Computer science),Feedback control systems,Integrated circuits, Very large scale integration,Engineering,Computational Intelligence,Circuits and Systems,Mathematical Models of Cognitive Processes and Neural Networks,Electronics and Microelectronics, Instrumentation

رده
E-BOOK

کتابخانه
Central Library, Center of Documentation and Supply of Scientific Resources

محل استقرار
استان: East Azarbaijan ـ شهر:

Central Library, Center of Documentation and Supply of Scientific Resources

تماس با کتابخانه : 04133443834

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
9788132215622

NATIONAL BIBLIOGRAPHY NUMBER

Country Code
IR
Number
EN-57542

LANGUAGE OF THE ITEM

.Language of Text, Soundtrack etc
انگلیسی

COUNTRY OF PUBLICATION OR PRODUCTlON

Country of publication
IR

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Non-linear feedback neural networks
General Material Designation
[Book]
Other Title Information
:VLSI implementations and applications
First Statement of Responsibility
/ Mohd. Samar Ansari

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
New Delhi
Name of Publisher, Distributor, etc.
: Springer,
Date of Publication, Distribution, etc.
, 2013?.

SERIES

Series Title
(Studies in computational intelligence
Volume Designation
; v.508)

NOTES PERTAINING TO PUBLICATION, DISTRIBUTION, ETC.

Text of Note
Electronic

INTERNAL BIBLIOGRAPHIES/INDEXES NOTE

Text of Note
Includes bibliographical references..

CONTENTS NOTE

Text of Note
Summary: This book aims to present a viable alternative to the Hopfield Neural Network (HNN) model for analog computation. It is well known that 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.
Text of Note
Voltage-mode Neural Network for the Solution of Linear Equations -- Mixed-mode Neural Circuit for Solving Linear Equations -- Non-Linear Feedback Neural Circuits for Linear and Quadratic Programming -- OTA-based Implementations of Mixed-mode Neural Circuits -- Appendix A: Mixed-mode Neural Network for Graph Colouring -- Appendix B: Mixed-mode Neural Network for Ranking.

SERIES

Title
Studies in computational intelligence
Volume Number
v.508

TOPICAL NAME USED AS SUBJECT

Neural networks (Computer science)
Feedback control systems
Integrated circuits, Very large scale integration
Engineering
Computational Intelligence
Circuits and Systems
Mathematical Models of Cognitive Processes and Neural Networks
Electronics and Microelectronics, Instrumentation

LIBRARY OF CONGRESS CLASSIFICATION

Class number
E-BOOK

PERSONAL NAME - SECONDARY RESPONSIBILITY

Ansari, Mohd. Samar

ORIGINATING SOURCE

Country
ایران

ELECTRONIC LOCATION AND ACCESS

Host name
9788132215622.pdf
Access number
عادی
Compression information
عادی
Date and Hour of Consultation and Access
9788132215622.pdf
Electronic Format Type
متن

old catalog

e

BL
1

a
Y

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