Computational Intelligence in Telecommunications Networks (eBook, PDF)

Redaktion: Pedrycz, Witold; Vasilakos, Athanasios

• Format: PDF

Produktbeschreibung

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 and congestion control, to network design and management and intelligent mobile agents. The CI community must become acquainted with emerging challenges to take advantage of the enormous opportunities the telecommunications field offers. This text meets that need, clearly, concisely, and with a depth certain to inspire further theoretical and practical advances.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 528
• Erscheinungstermin: 3. Oktober 2018
• Englisch
• ISBN-13: 9781420040951
• Artikelnr.: 53366299

Autorenporträt

Witold Pedrycz, Athanasios Vasilakos

Inhaltsangabe

Computational Intelligence: A Development for Telecommunications Networks.
Neural Network Methods for the Call Admission Control. CaC and
Computational Intelligence. Fuzzy Connection Admission Control for ATM
Networks. Congestion Control. Fuzzy Queque for ERICA ATM Switch Controller.
Fuzzy Rate Regulation with Feedback on Controllers. Applicability of
Reinforcement Learning Algorithms to Usage Parameter Control. Networking
Algorithms and Computational Intelligence. Qos-Based Hierarchical Routing
in ATM Networks Using Reinforcement Learning Algorithms: A Methodology.
Network Routing with the Use of Evolutionary Methods. Design and Use of
Neural Network Applications in Telecommunications. Elements of
Computational Intelligence for Network Management. Intelligent Monitoring
for Network Fault Management. A Hybrid Genetic Approach for Channel Reuse
in Multiple Access Telecommunications. Use of Computational Intelligence
Techniques for Designing Optical Networks. Dynamic Channel Assignment
Schemes Using Neural Networks. Mobile Profile Prediction Using Fuzzy
Inference in Cellular Networks. Intelligent Agents in Telecommunications
Networks.