By Witold Pedrycz, Athanasios Vasilakos

Telecommunications has developed and grown at an explosive cost lately and may certainly proceed to take action. As its services, purposes, and expertise develop, it turns into more and more complicated and tough, if now not most unlikely, to fulfill the calls for of a world community utilizing traditional computing applied sciences. Computational intelligence (CI) is the expertise of the future-and the long run is now. Computational Intelligence in Telecommunications Networks bargains an in-depth examine the fast development of CI expertise and exhibits its value in fixing the the most important difficulties of destiny telecommunications networks. It covers a huge diversity of subject matters, from name Admission keep an eye on, congestion keep watch over, and QoS-routing for ATM networks, to community layout and administration, optical, cellular, and energetic networks, and clever cellular Agents.Today's telecommunications execs want a operating wisdom of CI to use its strength to beat rising demanding situations. The CI group needs to turn into accustomed to these demanding situations to exploit the large possibilities the telecommunications box bargains. this article meets either these wishes, basically, concisely, and with a intensity bound to encourage additional theoretical and useful advances.

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Delay and CLR). , the decision threshold) for all calls in the stream. fm Page 36 Tuesday, August 1, 2000 3:08 PM 36 Computational Intelligence in Telecommunications Networks to be compared with the relevant decision threshold before a call is accepted. , trained to learn 0 for accept and 1 for reject), the output is compared to a threshold such as 1/2. ) The choice of output influences which CAC problem is being modeled. Consider the case in which the output is a queue-related parameter, such as delay or loss.

W. Pedrycz and F. Gomide, (1998) “An Introduction to Fuzzy Sets,” MIT Press, Cambridge. W. Pedrycz and A. Vasilakos, (2000) “Linguistic models and linguistic modeling: ATM traffic modeling,” IEEE, Trans. , Man and Cybernetics, February. (to appear) W. Pedrycz, A. Vasilakos, and A. Gacek, (2000) “Information granulation for concept formation,” proc. 15th ATM Symp. Appl. , ATM SAC 2000, Como, Italy, March 19–21. A. Pitsillides, A. A. Sekercioglou, and A. Vasilakos, (1997) “Bandwidth allocation for virtual paths using evolutionary programming (EP-BAVP),” in Proceedings of the International Conference on Telecommunications ICT’97, Monash University, Melbourne, Australia, 1163–1168, April.

Ficili, S. Palazzo, and D. Panno, (1996a) “A comparative analysis of fuzzy versus conventional policing mechanisms for ATM networks,” IEEE/ACM Trans. Networking, 4, 449–459, June. V. Catania, G. Ficili, S. Palazzo, and D. Panno, (1996b) “Using fuzzy logic in ATM source traffic control: Lessons and perspectives,” IEEE Commun. , 70–81, November. H. Chan, M. Palaniswami, D. Everitt, (1994) “NN-based dynamic channel assignment for cellular communication systems,” IEEE Trans. , 43, 279–288, May. fm Page 23 Tuesday, August 1, 2000 1:36 PM Computational Intelligence: A Development Environment 23 C.

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