摘要
模糊逻辑控制器(FLC)模型简明,易于利用专家知识,适应能力强,适用于多输入、具有不确定因素、非线性系统的控制。随着系统复杂度的提高,直观经验获取难度变得越来越大,既难表述,又难使用。本文针对网络系统中故障的预测和诊断问题,将遗传算法与前馈网络结合,提出了一种基于BP的遗传优化改进型算法(RGA-BP),并与经典BP算法结果作了比较,迭代步骤很明显的减少,精度明显提高。
Fuzzy Logic Controller(FLC) has a concise model,easily deal with multi-input、indefinite factor、nonlinear system by means of expert knowledge and its adaptive ability,with the increment of complexity of the system,direct experience is diffcult to be obtained ,expressed and utilized。This paper proposes a algorithm to solve fault forecasting of network with GA and make a comparison with classical BP,gets obvious progress.
出处
《武汉科技学院学报》
2005年第5期52-54,共3页
Journal of Wuhan Institute of Science and Technology
关键词
模糊逻辑控制器
故障的预测
遗传算法
优化
Fuzzy Logic Controller
Fault Forecasting
Genetic Algorithm
Optimization
