Emotional learning based intelligent traffic control of ATM networks

Authors:
Mahdi Jalili-Kharaajoo;Mohammadreza Sadri;Farzad Habibipour Roudsari
Affiliations:
Young Researchers Club, Islamic Azad University, Tehran, Iran;Iran Telecommunication Research Center, Tehran, Iran;Iran Telecommunication Research Center, Tehran, Iran
Venue:
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III
Year:
2005

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Abstract

In this paper, an intelligent controller is applied to traffic control of ATM networks. First, the dynamics of the network is modeled by a Locally Linear Neurofuzzy Models. Then, an intelligent controller based on brain emotional learning algorithm is applied to the identified model. Simulation results show that the proposed fuzzy traffic controller can outperform the traditional Usage Parameter Control mechanisms.