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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Non-Linear Feedback Neural Networks: VLSI Implementations and Applications

Non-Linear Feedback Neural Networks: VLSI Implementations and Applications

Ansari, Mohd Samar

Hardcover

Series: Studies in Computational Intelligence, Book 508

Technology & EngineeringGeneral ComputersGeneral Mathematics

ISBN10: 8132215621
ISBN13: 9788132215622
Publisher: Springer Nature
Published: Sep 16 2013
Pages: 201
Weight: 1.08
Height: 0.56 Width: 6.14 Depth: 9.21
Language: English
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.

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