基于ANFIS的电力通信网的可靠性评估  

Analysis of power communication networks reliability using adaptive-network-based fuzzy inference system

作　　者：浦同争 宗容[2] 施继红[2] 董建伟 

机构地区：[1]中国人民武装警察边防部队士官学校信息技术系,云南昆明650214 [2]云南大学信息学院,云南昆明650091

出　　处：《陕西科技大学学报（自然科学版）》2013年第4期118-121,126,共5页Journal of Shaanxi University of Science & Technology

基　　金：云南省教育厅科学研究计划项目(20110982)

摘　　要：根据以往电力通信网可靠性评估方法,对电力通信网可靠性相关指标进行整理,采用自适应神经模糊推理系统(Adaptive Neural Fuzzy Inference System,ANFIS)构建了电力通信网可靠性评估模型.以MATLAB为工具,利用ANFIS的模糊工具实现了模糊神经推理过程,并经过系统仿真得到结果,通过与神经网络、贝叶斯网络、蒙特卡洛算法结果进行比较,此模型具有更高的准确性.On the basis of evaluation methods which usually used in power communication network reliability evaluation, it considers synthetically the factor which influence power communication network reliability, and proposes an adaptive neural-fuzzy inference system （ANFIS） power communication network reliability evaluation model. It takes advantage of ANFIS in MATLAB to fufill the neural-fuzzy reasoning of the system, and results which is simulated shows that this model is effective.

关 键 词：电力通信网 可靠性 ANFIS 

分 类 号：TN915[电子电信—通信与信息系统]