Proceedings of the International Workshop on Applications of Neural Networks to Telecommunications (eBook, PDF)

Redaktion: Alspector, Joshua; Brown, Timothy X.; Goodman, Rodney

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 320
• Erscheinungstermin: 17. Juni 2013
• Englisch
• ISBN-13: 9781134786107
• Artikelnr.: 42684362

Autorenporträt

Timothy X. Brown, Joshua Alspector, Rodney Goodman

Inhaltsangabe

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. Leitão
ATM Call Control by Neural Networks. M.K. Sönmez
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.