基于神经网络的可靠度时序预测方法研究

Artificial Neural Network Based on Time Series Prediction of Reliability

提出了利用人工神经网络进行可靠度时序预测的方法 ,分别利用径向基函数 (RBF)网络及自适应模糊神经 (ANFIS)网络对发动机涡轮增压器进行了可靠度的时序预测 .结果表明 ,利用神经网络进行可靠度时序预测是可行的 ,并且ANFIS的预测能力要优于RBF .

A method of time series prediction of reliability based on Artificial Neural Network is proposed. Two keinds of networks, RBF and ANFIS, are used to predict the time series reliability of turbochargers of an engine. The results indicate that the method is feasible and the prediction capability of ANFIS is superior to the RBF network.