APPLICATIONS OF NEURAL NETWORKS TO TELECOMMUNICATIONS 1ST WORKSHOP

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"Even if you're not working in the area of telecommunications, neural network systems
developers will find a wealth of engineering detail and application inspiration here."
-- AI Expert
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.
Contents: S.H. Bang, B.J. Sheu, J. Choi, Programmable VLSI Neural Network Processors for
Equalization of Digital Communication Channels. A. Jayakumar, J. Alspector, An Analog
Neural-Network Co- Processor System for Rapid Prototyping of Telecommunications Applications. J.
Cid-Sueiro, A.R. Figueiras-Vidal, Improving Conventional Equalizers with Neural Networks. T.X.
Brown, Neural Networks for Adaptive Equalization. R. Goodman, B. Ambrose, Applications of Learning
Techniques to Network Management. M. Littman, J. Boyan, A Distributed Reinforcement Learning
Scheme for Network Routing. M. Goudreau, C.L. Giles, Discovering the Structure of a Self-Routing
Interconnection Network with a Recurrent Neural Network. G. Kechriotis, E. Manolakos, Implementing
the Optimal CDMA Multiuser Detector with Hopfield Neural Networks. A. Jagota, Scheduling Problems
in Radio Networks Using Hopfield Networks. E. Nordstrom, A Hybrid Admission Control Scheme for
Broadband ATM Traffic. A. Tarraf, I. Habib, T. Saadawi, Neural Networks for ATM Multimedia
Traffic Prediction. A. Chhabra, S. Chandran, R. Kasturi, Table Structure Interpretation & Neural
Network Based Text Recognition for Conversion of Telephone Company Tabular Drawings. A. Amin, H.
Al-Sadoun, Arabic Character Recognition System Using Artificial Neural Network. S. Amin, M. Gell,
Constrained Optimization for Switching Using Neural Networks. Y-K. Park, V. Cherkassky, G. Lee,
ATM Cell Scheduling for Broadband Switching Systems by Neural Network. F. Comellas, R. Roca,
Using Genetic Algorithms to Design Constant Weight Codes. J. Connor, Bootstrap Methods in Neural
Network Time Series Prediction. S. Haykin, L. Li, 16 kbps Adaptive Differential Pulse Code Modulation
of Speech. A. Hasegawa, K. Shibata, K. Itoh, Y. Ichioka, K. Inamura, Adapting-Size Neural Network
for Character Recognition on X-Ray Films. A. Holst, A. Lansner, Diagnosis of Technical Equipment
Using a Bayesian Neural Network. N. Karunanithi, A Connectionist Approach for Incorporating
Continuous Code Churn into Software Reliability Growth Models. S. Kwasny, B. Kalman, A.M.
Engebretson, W. Wu, Real-Time Identification of Language from Raw Speech Waveforms. P. Leray, Y.
Burnod, CUBICORT: A Simulation of a Multicolumn Model for 3D Image Analysis, Understanding &
Compression for Digital TV, HDTV & Multimedia. H. Liu, D. Yun, Self-Organizing Finite State Vector
Quantization for Image Coding. T. Martinez, G. Rudolph, A Learning Model for Adaptive Network
Routing. M. Meyer, G. Pfeiffer, Multilayer Perceptron Based Equalizers Applied to Nonlinear Channels.
A. Mikler, J. Wong, V. Honavar, Quo Vadis - A Framework for Adaptive Routing in Very Large
Communication Networks. S. Neuhauser, Hopfield Optimization Techniques Applied to Routing in
Computer Networks. J.E. Neves, L.B. Almeida, M.J. Leitao, ATM Call Control by Neural Networks.
M.K. S"onmez, T. Adali, Channel Equalization by Distribution Learning: The Least Relative Entropy
Algorithm. C-X. Zhang, Optimal Traffic Routing Using Self-Organization Principle. J. Connor, Prediction
of Access Line Growth. B.P. Yuhas, Toll-Fraud Detection. T. John, Multistage Information Filtering Using
Cascaded Neural Networks. L.R. Leerink, M.A. Jabri, Temporal Difference Learning Applied to
Continuous Speech Recognition. T-D. Chiueh, T-T. Tang, L-G. Chen, Vector Quantization Using
Tree-Structured Self-Organizing Feature Maps. N. Karunanithi, Identifying Fault-Prone Software
Modules Using Connectionist Networks. S. Carter, R.J. Frank, D.S.W. Tansley, Clone Detection in
Telecommunications Software Systems: A Neural Net Approach. L. Lewis, S. Sycamore, Learning Index
Rules and Adaptation Functions for a Communications Network Fault Resolution System. T. Sone, Using
Distributed Neural Networks to Identify Faults in Switching Systems. A. Chattell, J.B. Brook, A Neural
Network Pre-Processor for a Fault Diagnosis Expert System.

Auteur : ALSPECTOR
Editeur : LAWRENCE ERLBAUM ASSOCIATES
Nombre de pages : 320
Date de publication : 04 1993

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