عنوان
پدید آورنده
موضوع
رده
QA
QA
کتابخانه
محل استقرار
2147
English
Ansari , Mohd Samar
Non-linear feedback neural networks : VLSI implementations and applications
New Delhi
Springer
2014
)xxii, 201 pages( : illustrations
Studies in computational intelligence
v.508
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.
، Neural networks )Computer science(
، Feedback control systems
Very large scale integration ، Integrated circuits
QA
AU
Mohd Samar Ansari
NO
لاه دیجیتانابخکت
