摘要
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.
出处
《华中理工大学学报》
CSCD
北大核心
2000年第8期35-37,共3页
Journal of Huazhong University of Science and Technology
关键词
涡轮增压器
可靠度时序预测
人工
神经网络
turbocharger
time series prediction reliability
artificial neural network