ATM基于神经模糊算法的呼叫接入控制

A Neural-Fuzzy Algorithm Based Call Admission Controller for ATM Networks

本文研究 ＡＴＭ通信网络基于在线测量的呼叫允许接入控制问题。文章提出利用神经－模糊算法在线协调模糊规则中的参数，并在此基础上，实现了一种新的ＣＡＣ机制。在确保服务质量的情况下，提高网络资源利用率，通过实例仿真表明了应用此种算法的可行性。

In this paper, we studies the Call Admission Control algorithm of Asynchronous Transfer Mode (ATM) networks. This paper propose to adjust the parameters of fuzzy rules, by which increase the system ef- ficiency under the constraint of Qaulity of Service(Qos ). We implement this new Call Admission Control(CAC) mechemic and indicate its feasibility through simulation.