9788132215622
IR
EN-57542
انگلیسی
IR
Non-linear feedback neural networks
[Book]
:VLSI implementations and applications
/ Mohd. Samar Ansari
New Delhi
: Springer,
, 2013?.
(Studies in computational intelligence
; v.508)
Electronic
Includes bibliographical references..
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.
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.
Studies in computational intelligence
v.508
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
E-BOOK
Ansari, Mohd. Samar
ایران
9788132215622.pdf
عادی
عادی
9788132215622.pdf
متن
old catalog
e
BL
1
a
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