Computational Intelligence in Telecommunications Networks
Telecommunications has evolved and grown at an explosive rate in recent years and will undoubtedly continue to do so. As its functions, applications, and technology grow, it becomes increasingly complex and difficult, if not impossible, to meet the demands of a global network using conventional comp...
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CRC Press
2009
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oai:scholar.dlu.edu.vn:DLU123456789-15172009-12-03T09:28:02Z Computational Intelligence in Telecommunications Networks Pedrycz, Witold Vasilakos, Athanasios Telecommunications has evolved and grown at an explosive rate in recent years and will undoubtedly continue to do so. As its functions, applications, and technology grow, it becomes increasingly complex and difficult, if not impossible, to meet the demands of a global network using conventional computing technologies. Computational intelligence (CI) is the technology of the future-and the future is now. Computational Intelligence in Telecommunications Networks offers an in-depth look at the rapid progress of CI technology and shows its importance in solving the crucial problems of future telecommunications networks. It covers a broad range of topics, from Call Admission Control, congestion control, and QoS-routing for ATM networks, to network design and management, optical, mobile, and active networks, and Intelligent Mobile Agents. Today's telecommunications professionals need a working knowledge of CI to exploit its potential to overcome emerging challenges. The CI community must become acquainted with those challenges to take advantage of the enormous opportunities the telecommunications field offers. This text meets both those needs, clearly, concisely, and with a depth certain to inspire further theoretical and practical advances. Computational Intelligence: A Development Environment for Telecommunications Networks, W. Pedrycz and A. Vasilakos Neural Network Methods for Call Admission Control, R.G. Ogier, and N. Taft-Plotkin CaC and Computational Intelligence, R.G. Cheng and C.J. Chang Fuzzy Connection Admission Control for ATM Networks, K. Uehara and K. Hirota Congestion Control, A. Pitsillides and A. Sekercioglu Fuzzy Queue for ERICA ATM Switch Controller, Y. Klein and A. Kandel Fuzzy Rate Regulation with Feedback on Controllers in ATM Networks, C. Douligeris and Y.C. Liu Applicability of Reinforcement Learning Algorithms to Usage Parameter Control, A. Atlasis and A. Vasilakosl Networking Algorithms and Computational Intelligence, S. Ghosh, Q. Raxouqi, P. Seshasayi, T.S. Lee, and S.S. Joo QoS-Based Hierarchical Routing in ATM Networks Using Reinforcement Learning Algorithms: A Methodology, M. Saltouros, A. Atlasis, A. Vailakos, and W. Pedrycz Network Routing with the Use of Evolutionary Methods, M. Munetomo Design and Use of Neural Network Applications in Telecommunications, R.J. Frank, N. Davey, and S.P. Hunt Elements of Computational Intelligence for Network Management, P. Venkataram Intelligent Monitoring for Network Fault Management, C.S. Hood and C. Ji A Hybrid Genetic Approach for Channel Reuse in Multiple Access Telecommunication Networks, I. Kassotakis, M. Markaki, and A. Vasilakos Use of Computational Intelligence Techniques for Designing Optical Networks, I. Chlamtac, A. Fumagalli, and L. Valcarenghi Dynamic Channel Assignment Schemes Using Neural Networks, D. Tissainayagam, M. Palaniswami, and D. Everitt Mobile Profile Prediction Using Fuzzy Inference in Cellular Networks, X. Shen and J.W. Mark Intelligent Agents in Telecommunications Networks, C. Tsatsoulis and L.K. Soh 2009-12-03T09:28:02Z 2009-12-03T09:28:02Z 2000 Book http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/1517 en application/rar CRC Press |
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English |
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Telecommunications has evolved and grown at an explosive rate in recent years and will undoubtedly continue to do so. As its functions, applications, and technology grow, it becomes increasingly complex and difficult, if not impossible, to meet the demands of a global network using conventional computing technologies. Computational intelligence (CI) is the technology of the future-and the future is now.
Computational Intelligence in Telecommunications Networks offers an in-depth look at the rapid progress of CI technology and shows its importance in solving the crucial problems of future telecommunications networks. It covers a broad range of topics, from Call Admission Control, congestion control, and QoS-routing for ATM networks, to network design and management, optical, mobile, and active networks, and Intelligent Mobile Agents.
Today's telecommunications professionals need a working knowledge of CI to exploit its potential to overcome emerging challenges. The CI community must become acquainted with those challenges to take advantage of the enormous opportunities the telecommunications field offers. This text meets both those needs, clearly, concisely, and with a depth certain to inspire further theoretical and practical advances. |
format |
Book |
author |
Pedrycz, Witold Vasilakos, Athanasios |
spellingShingle |
Pedrycz, Witold Vasilakos, Athanasios Computational Intelligence in Telecommunications Networks |
author_facet |
Pedrycz, Witold Vasilakos, Athanasios |
author_sort |
Pedrycz, Witold |
title |
Computational Intelligence in Telecommunications Networks |
title_short |
Computational Intelligence in Telecommunications Networks |
title_full |
Computational Intelligence in Telecommunications Networks |
title_fullStr |
Computational Intelligence in Telecommunications Networks |
title_full_unstemmed |
Computational Intelligence in Telecommunications Networks |
title_sort |
computational intelligence in telecommunications networks |
publisher |
CRC Press |
publishDate |
2009 |
url |
http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/1517 |
_version_ |
1757671716366057472 |