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QoS Approach Based on RBF Neural Network and Fuzzy Method for Mobile Ad-hoc Networks

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Abstract (2. Language): 
This paper presents a novel QoS support approach for mobile ad hoc networks (MANET). The fuzzy logic is used for QoS management in two phases, first for traffic rate controlling, and then for packet accepting controlling. After using fuzzy logic we used Radial Basis Function Neural Networks (RBFNN), for QoS management. The results show that our new management methods (RBFNN QoS management) not only has a best tracking of fuzzy results, but also have a good classification of data that are gotten as feedbacks of mobile ad hoc networks(MANET).
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