Proceedings of the International Workshop on Applications of Neural Networks to Telecommunications 3
Edited by Joshua Alspector, Rodney Goodman, Timothy X. Brown
Psychology Press – 1997 – 304 pages
Psychology Press – 1997 – 304 pages
Recently, the telecommunications industry has been exposed to many changes in technology. AT&T is currently experiencing its second divestiture. The internet has grown explosively with enormous numbers of people subscribing to providers such as America On Line. Microsoft, Netscape, and other computer-oriented companies are competing furiously for customers in the on-line world. Customers are having service problems because the network and providers cannot keep up with the ever-growing demand for service. Selling on the internet is ubiquitous with every company and with many individuals having a home page. Anecdotal evidence, however, suggests that almost nobody is making a profit from the growth of the internet.
The papers in this collection reflect these changes. They were presented at a meeting of the International Workshop on the Application of Neural Networks to Communications (IWANNT*97). Discussing a wide variety of intelligent system applications, the major theme of the articles is networking, especially the use of ATM technology and the modeling of the resulting traffic. Recurring themes in this conference are routing and resource allocation in all types of communications networks. The collection also contains papers on fault detection, diagnosis, correction, coding and equalization, customer profiling, and pattern recognition.
Contents: S. Olafsson, Self-Adaptive Network Utilisation. J. Bíró, M. Boda, A. Fargó, T. Henk, Neural Netwoks for Computing Blocking Probabilities in ATM Virtual Subnetworks. A. Casilari, A. Reyes, A. Díaz-Estrella, F. Sandoval, Generation of ATM Video Traffic Using Neural Networks. A. Murgu, Fuzzy Mean Flow Estimation with Neural Networks for Multistage ATM Systems. E. Casilari, A Jurado, G. Pansard, A. Díaz-Estrella, F. Sandoval, Model Generation of Aggregate ATM Traffic Using a Neural Cntrol with Accelerated Self-Scaling. Z. Fan, P. Mars, Dynamic Routing in ATM Networks with Effective Bandwidth Estimation by Neural Networks. J. Carlström, E. Nordström, Control of Self-Similar ATM Call Traffic by Reinforcement Learning. K. Steenhaut, A. Nowé, M. Fakir, E. Dirkx, Towards a Hardware Implementation of Reinforcement Learning for Call Admission Control in Networks for Integrated Services. C.K. Tham, W.S. Soh, ATM Connection Admission Control using Modular Neural Networks. I. Mahdevan, C.S. Raghavendra, Admission Control in ATM Networks Using Fuzzy-ARTMAP. T.X. Brown, Bandwidth Dimensioning for Data Traffic K.C. Tsui, B. Azvine, ATM Traffic Policing Using a Classifier System. S.D.H. Field, P.W. Hobson, Techniques for Telecommunications Fraud Management A.S.M. DeFranceschi, M.A. daRocha, H.L. Weber, C.B. Westphall, Employing Remote Monitoring and Artificial Intelligence Techniques to Develop the Proactive Network Management. P. Leray, P. Gallinari, E. DideletLocal Diagnosis for Real-Time Network Traffic Management. L. Lewis, U. Datta, S. Sycamore, Intelligent Capacity Evaluation/Planning with Neural Network Clustering Algorithms. D.B. Hoang, Neural Networks for Network Topological Design. S. Wu, K.Y.M. Wong, Overload Control for Distributed Call Processors Using Neural Networks. T. Edwards, D.S.W. Tansley, R.J. Frank, N. DaveyTraffic Trends Analysis using Neural Networks. C. Giraud-Carrier, M. Ward, Learning Customer Profiles to Generate Cash over the Internet. A. Kolcz, J. Alspector, M. Augusteijn, R. Carlson, G. Viorel Popescu, Keyword Search in Handwritten Documents. Y-H. Huang, C-J. Liou, S-T. Wu, L-G. Chen, T-D. Chiueh, Face Recognition Using Hierarchical Neural Networks. T.D. Gedeon, B.J. Briedis, R.A. Bustos, G. Greenleaf, A. Mowbray, Query Word-Concept Clusters in a Legal Document Collection. K.R. Moore, P.C. Blain, M.P. Caffrey, R.C. Franz, K.M. Henneke, R.G. Jones, A Space-Based Radio Frequency Transient Event Classifier. J. Biesterfeld, E. Ennigrou, K. Jobmann, Neural Networks for Location Prediction in Mobile Networks. E.J. Wilmes, K.T. Erickson, Reinforcement Learning and Supervised Learning Control of Dynamic Channel Allocation for Mobile Radio Systems. Q. Gan, N. Sundararajan, P. Saratchandran, R Subramanian, Equalisation of Rapidly Time-Varying Channels Using an Efficient RBF Neural Network. E. Dubossarsky, T.R. Osborn, S. Reisenfeld, Equalization and the Impulsive MOOSE: Fast Adaptive Signal Recovery in Very Heavy Tailed Noise. K. Raivio, J. Henriksson, O. Simula, Neural Receiver Structures Based on Self-Organizing Maps in Nonlinear Multipath Channels. H. Wietgrefe K-D. Tuchs, K. Jobmann, G. Carls, P. Fröhlich, W. Nejdl, S. Steinfeld, Using Neural Networks for Alarm Correlation in Cellular Phone Networks. M.W. Tilden, J.R. Frigo, K.R. Moore, A Novel Microsatellite Control System. A. Christiansen, A. Herschtal, M. Herzberg, A. Kowalczyk, J. Szymanski, Neural Networks for Resource Allocation in Telecommunication Networks. L. Hérault, D. Dérou, M. Gordon, New Q-Routing Approaches to Adaptive Traffic Control. S.W. Mok, M.Z. Wang, K.C. Li, Neural Network Aided Soft Decision Decoding of Block Codes with Random Percentage Training.