Proceedings of the International Workshop on Applications of Neural Networks to Telecommunications

by Alspector; Joshua

• ISBN13: 9780805815603
• ISBN10: 0805815600
• Edition: 1st
• Format: Hardcover
• Copyright: 1993-10-01
• Publisher: Psychology Pres

Summary

The world is witnessing the rapid evolution of its own nervous system by an unparalleled growth in communication technology. Like the evolution of the nervous systems in animals, this growth is being driven by a survival-of-the-fittest-mechanism. In telecommunications, the entities that fuel this growth are companies and nations who compete with each other. Companies with superior information systems can outrun and outsmart others because they serve their customers better. On the threshold of an explosion in the variety, speed and usefulness of telecommunication networks, neural network researchers can make important contributions to this emerging new telecommunications infrastructure. The first International Workshop on Applications of Neural Networks to Telecommunications (IWANNT) was planned in response to the telecommunications industry's needs for new adaptive technologies. This workshop featured 50 talks and posters that were selected by an organizing committee of experts in both telecommunications and neural networks. These proceedings will also be available on-line in an electronic format providing multimedia figures, cross-referencing, and annotation.

Table of Contents

Table of Contents	p. v
Preface	p. ix
Programmable Vlsi Neural Network Processors for Equalization of Digital Communication Channels	p. 1
Introduction	p. 1
Conclusions	p. 8
References	p. 9
Abstract	p. 13
An Analog Neural-Network Co-Processor System for Rapid Prototyping of Telecommunications Applications	p. 13
Introduction	p. 14
Conclusions	p. 18
References	p. 19
Improving Conventional Equalizers with Neural Networks	p. 20
Introduction	p. 20
References	p. 25
Conclusions	p. 25
Neural Networks for Adaptive Equalization	p. 27
Introduction	p. 27
Conclusions	p. 32
References	p. 33
Applications of Learning Techniques to Network Management	p. 34
Conclusions	p. 44
References	p. 44
A Distributed Reinforcement Learning Scheme for Network Routing	p. 45
Introduction	p. 45
Conclusion	p. 49
References	p. 50
Introduction	p. 52
Discovering the Structure of A Self- Routing Interconnection Network with A Recurrent Neural Network	p. 52
Conclusions	p. 57
References	p. 58
Introduction-Background	p. 60
Implementing the Optimal Cdma Multiuser Detector with Hopfield Neural Networks	p. 60
References	p. 65
References	p. 66
Abstract	p. 67
Scheduling Problems in Radio Networks Using Hopfield Networks	p. 67
References	p. 74
A Hybrid Admission Control Scheme for Broadband Atm Traffic	p. 77
Introduction	p. 77
References	p. 84
Neural Networks for Atm Multimedia Traffic Prediction	p. 85
Abstract	p. 85
Conclusions	p. 89
References	p. 90
Introduction	p. 92
Table Structure Interpretation and Neural Network Based Text Recognition for Conversion of Telephone Company Tabular Drawings	p. 92
Conclusion	p. 98
References	p. 98
Introduction	p. 99
Arabic Character Recognition System Using Artificial Neural Network	p. 99
References	p. 104
References	p. 105
Introduction	p. 106
Constrained Optimisation for Switching Using Neural Networks	p. 106
Acknowledgment	p. 111
References	p. 111
Atm Cell Scheduling for Broadband Switching Systems by Neural Network	p. 112
Introduction	p. 112
Conclusion	p. 117
References	p. 118
Using Genetic Algorithms to Design Constant Weight Codes	p. 119
Introduction	p. 119
Conclusions	p. 124
Acknowledgement	p. 124
References	p. 124
Abstract	p. 125
Bootstrap Methods in Neural Network Time Series Prediction	p. 125
Conclusion	p. 129
Acknowledgements	p. 130
References	p. 130
kb / S Adaptive Differential Pulse Code Modulation of Speech	p. 132
Introduction	p. 132
Concluding Remarks	p. 137
References	p. 137
Introduction	p. 139
Adapting-Size Neural Network for Character Recognition on X-Ray Films	p. 139
Acknowledgments	p. 145
Conclusions	p. 145
References	p. 146
Introduction	p. 147
Diagnosis of Technical Equipment Using A Bayesian Neural Network	p. 147
Conclusions	p. 152
References	p. 153
Acknowledgments	p. 153
A Connectionist Approach for Incorporating Continuous Code Churn into Software Reliability Growth Models	p. 154
Introduction	p. 154
Conclusion	p. 159
References	p. 160
Introduction	p. 161
Real-Time Identification of Language from Raw Speech Waveforms	p. 161
Conclusions	p. 165
Acknowledgements	p. 166
References	p. 166
Cubicort: A Simulation of A Multicolumn Model for 3d Image Analysis, Understanding & Compression for Digital Tv, Hdtv & Multimedia	p. 168
Introduction	p. 168
References	p. 175
Acknowledgements	p. 175
Conclusion	p. 175
Self-Organizing Finite State Vector Quantization for Image Coding	p. 176
Introduction	p. 176
References	p. 182
A Learning Model for Adaptive Network Routing	p. 183
Introduction	p. 183
References	p. 187
Conclusion and Current Work	p. 187
Introduction	p. 188
Multilayer Perceptron Based Equalizers Applied to Nonlinear Channels	p. 188
Conclusions	p. 195
References	p. 195
Quo Vadis -- A Framework for Adaptive Routing in Very Large Communication Networks	p. 196
References	p. 202
Hopfield Optimization Techniques Applied to Routing in Computer Networks	p. 203
References	p. 209
Acknowledgements	p. 209
Conclusion	p. 209
Atm Call Control by Neural Networks	p. 210
Introduction	p. 210
Conclusions	p. 216
References	p. 217
Abstract	p. 218
Channel Equalization by Distribution Learning: the Least Relative Entropy Algorithm	p. 218
Introduction	p. 219
References	p. 222
Optimal Traffic Routing Using Self-Organization Principle	p. 225
Introduction	p. 225
Conclusion	p. 229
References	p. 231
Abstract	p. 232
Prediction of Access LIne Growth	p. 232
Conclusions and Future Work	p. 235
References	p. 236
Introduction	p. 239
Toll-Fraud Detection	p. 239
Conclusions	p. 244
Introduction	p. 244
Multistage Information Filtering Using Cascaded Neural Networks	p. 245
Introduction	p. 245
Conclusions	p. 251
References	p. 251
Temporal Difference Learning Applied to Continuous Speech Recognition	p. 252
Introduction	p. 252
Conclusions	p. 256
References	p. 257
Introduction	p. 259
Vector Quantization Using Tree-Structured Self-Organizing Feature Maps	p. 259
Conclusions	p. 264
Acknowledgements	p. 265
References	p. 265
Abstract	p. 266
Identifying Fault-Prone Software Modules Using Connectionist Networks	p. 266
References	p. 272
Conclusion	p. 272
Abstract	p. 273
Clone Detection in Telecommunications Software Systems: A Neural Net Approach	p. 273
References	p. 280
Acknowledgments	p. 280
Conclusions	p. 280
Learning Index Rules and Adaptation Functions for A Communications Network Fault Resolution System	p. 281
Introduction	p. 281
Conclusion	p. 285
References	p. 286
Introduction	p. 288
Using Distributed Neural Networks to Identify Faults in Switching Systems	p. 288
Conclusion	p. 296
Acknowledgements	p. 296
References	p. 296
A Neural Network Pre-Processor for A Fault Diagnosis Expert System	p. 297
Introduction	p. 297
Conclusions	p. 305
References	p. 305
Author Index	p. 306
Subject Index	p. 308
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