摘要： ＡＴＭ网络的业务量控制是ＡＴＭ网络中的关键术之一。在充分考虑了模糊神经网络的学习功能后，提出了利用Ｔ－Ｓ模糊神经网络算法对ＡＴＭ网络进行呼叫接纳控制。仿真结果表明，该方法提高了网络对呼叫的实时处理能力，又增加了网络资源的利用率。
关键词:
ATM网络,
模糊神经网络,
呼叫接纳控制,
信元丢失率
Abstract: The traffic control of the ATM network is one of the key technologies in ATM networks. This paper concerns about the learning function of the fuzzy neural network A call admission control scheme for ATM networks based on T-S fuzzy neural network is presented. The simulation results show that this method can raise the call processing capability in real time and raise the utilization of the network resources in the meanwhile.
中图分类号:
郑涛,陈增强,袁著祉. 基于T-S模糊神经网络的ATM网络业务量智能控制[J]. , 2001, 27(11): 14-.
ZHIENG Tao, CHEN Zengqiang, YUAN Zhuzhi. Intelligent Control of Traffic in ATM Networks Using T-S Fuzzy Neural Network[J]. , 2001, 27(11): 14-.