Neural Networks in Telecommunications / Edition 1

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Overview

Neural Networks in Telecommunications consists of a carefully edited collection of chapters that provides an overview of a wide range of telecommunications tasks being addressed with neural networks. These tasks range from the design and control of the underlying transport network to the filtering, interpretation and manipulation of the transported media. The chapters focus on specific applications, describe specific solutions and demonstrate the benefits that neural networks can provide. By doing this, the authors demonstrate that neural networks should be another tool in the telecommunications engineer's toolbox.
Neural networks offer the computational power of nonlinear techniques, while providing a natural path to efficient massively-parallel hardware implementations. In addition, the ability of neural networks to learn allows them to be used on problems where straightforward heuristic or rule-based solutions do not exist. Together these capabilities mean that neural networks offer unique solutions to problems in telecommunications.
For engineers and managers in telecommunications, Neural Networks in Telecommunications provides a single point of access to the work being done by leading researchers in this field, and furnishes an in-depth description of neural network applications.

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Editorial Reviews

Booknews
An edited collection of chapters that provides an overview of a wide range of telecommunications tasks being addressed with neural networks. These tasks range from the design and control of the underlying transport network to the filtering, interpretation, and manipulation of the transported media. The chapters focus on specific applications, describe specific solutions, and demonstrate the benefits that neural networks can provide. By so doing, the authors show that neural networks should be another tool available to telecommunications engineers. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

  • ISBN-13: 9780792394174
  • Publisher: Springer US
  • Publication date: 10/30/2007
  • Edition description: 1994
  • Edition number: 1
  • Pages: 384
  • Product dimensions: 9.21 (w) x 6.14 (h) x 0.88 (d)

Table of Contents

1 Introduction 1
2 Neural Networks for Switching 11
3 Routing in Random Multistage Interconnection Networks 37
4 ATM Traffic Control Using Neural Networks 63
5 Learning from Rare Events : Dynamic Cell Scheduling for ATM Networks 91
6 A Neural Model for Adaptive Congestion Control in ATM Networks 109
7 Structure and Performance of Neural Nets in Broadband System Admission Control 127
8 Neural Network Channel Equalization 143
9 Neural Networks as Excisers for Spread Spectrum Communication Systems 173
10 Static and Dynamic Channel Assignment Using Simulated Annealing 191
11 Cellular Mobile Communication Design Using Self-Organizing Feature Maps 211
12 Automatic Language Identification using Telephone Speech 233
13 Text-Independent Talker Verification Using Cohort Normalized Scores 255
14 Neural Network Applications in Character Recognition and Document Analysis 271
15 Image Vector Quantization by Neural Networks 287
16 Managing the INFOGLUT: Information Filtering Using Neural Networks 305
17 Empirical Comparisons of Neural Networks and Statistical Methods for Classification and Regression 325
18 A Neurocomputing Approach to Optimizing the Performance of a Satellite Communication Network 349
Index 367
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