Model Integrating Fuzzy Argument with Neural Network Enhancing the Performance of Active Queue Management

Along with the advantages that the fuzzy control system has brought to improvements on the active queue management mechanism, there still exists some shortcomings such as the design and optimization of the fuzzy system require some experiences in controlling subjects. On the other hand, for the fuzzy controller to work well, it should have the parameters (the number of fuzzy sets in each language variable , the shape of fuzzy sets, the number of laws and the weight of each law) to be optimal [13][28][29]. To solve this problem, we offer the model integrating fuzzy control with neural network in order to improve the performance of active queue management mechanisms.