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- W1566167632 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." @default.
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- W1566167632 date "2005-01-01" @default.
- W1566167632 modified "2023-09-24" @default.
- W1566167632 title "Emotional Learning Based Intelligent Traffic Control of ATM Networks" @default.
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- W1566167632 doi "https://doi.org/10.1007/11427469_60" @default.
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