Progress in Neural Networks: Volume One
Author:   Omid M. Omidvar
Publisher:   Intellect
Volume:   Vol 1
ISBN:  

9780893916107


Pages:   200
Publication Date:   01 May 1991
Format:   Hardback
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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Progress in Neural Networks: Volume One


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Overview

This series reviews research in natural and synthetic neural networks, as well as reviews research in modelling, analysis, design and development of neural networks in software and hardware areas. Contributions from researchers and practitioners aim to shape academic and professional programs in this area, and serve as a platform for detailed and expanded discussion of topics of interest to the neural network and cognitive information processing communities. This series should be of interest to those professionally involved in neural networks research, such as lecturers and primary investigators in neural computing, modelling, learning, memory and neurocomputers.

Full Product Details

Author:   Omid M. Omidvar
Publisher:   Intellect
Imprint:   Intellect Books
Volume:   Vol 1
Dimensions:   Width: 16.40cm , Height: 2.40cm , Length: 23.10cm
Weight:   0.528kg
ISBN:  

9780893916107


ISBN 10:   0893916102
Pages:   200
Publication Date:   01 May 1991
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

A review of hardware approaches to electronic neural networks; neural networks; neural network based system for autonomous data analysis and control; hypercube-based compact neural network and its comparisons with other artificial neural networks; two-layer binary associative memories; adaptive self-organizing concurrent systems; neural computability; a general purpose neural network; VLSI chips for neural networks; neural networks for pattern recognition.

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