Overview

Industrial Applications of Neural Networks explores the success of neural networks in different areas of engineering endeavors. Each chapter shows how the power of neural networks can be exploited in modern engineering applications.The first seven chapters focus on image processing as well as industrial or manufacturing perspectives. Topics discussed include:oshape recognitionoshape from shadingoaircraft detection in SAR imagesovisualization of high-dimensional data bases of industrial systemso3-D object learning and recognition from multiple 2-D viewsofingerprint classificationoperformance optimization in flexible manufacturing systemsThe remaining chapters address issues and applications in the expansive area of multimedia communications as well as mobile and cellular communications.

Full Product Details

Author:   Bing J. Sheu (Nassda Corporation, Santa Clara, California, USA) ,  Lakhmi C. Jain ,  V. Rao Vemuri (University of California, Livermore, USA) ,  Stephen Grossberg (Boston University)
Publisher:   Taylor & Francis Inc
Imprint:   CRC Press Inc
Volume:   3
Dimensions:   Width: 15.60cm , Height: 2.40cm , Length: 23.40cm
Weight:   0.608kg
ISBN:  

9780849398025

ISBN 10:   0849398029
Pages:   344
Publication Date:   28 October 1998
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Out of Print
Availability:   Out of stock  

Table of Contents

On-Line Shape Recognition with Incremental Training Using Neural Networks with Binary Synaptic Weights. Neural Network Approaches to Shape from Shading. Neural Networks and Fuzzy Reasoning to Detect Aircraft in SAR Images. The Self-Organizing Map in Industry Analysis. A Self-Organising Architecture for Invariant 3-D Object Learning and Recognition from Multiple 2-D Views. Industrial Applications of Hierarchical Neural Networks: Character Recognition and Finger Print Classification. Neural Networks for Performance Optimization in Flexible Manufacturing Systems. Channel Assignment in Mobile Communication Networks - A Computational Intelligence Approach. Application of Cellular Compact Neural Networks in Digital Communications. Neural Networks for Process Scheduling in Communications Systems. NTI/Sales Copy

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