摘要
利用RBF神经网络可以快速逼近任意非线性函数及良好分类能力的特点,进行多电梯运行系统故障的预测,提出了故障预测方法。仿真结果表明该方法是可行的,可以广泛应用于多电梯故障预测。
The paper studies how to use RBF neural network which can approximate any nonl-inear functions quickly and has good characteristics of the classification ability for multi-elevator operating system failure prediction, and proposed failure prediction method. The simulation results show that the method is feasible and can be widely used in multi-elevator failure prediction.
出处
《计算机系统应用》
2011年第9期252-255,共4页
Computer Systems & Applications
基金
安徽省教育厅自然科学重点科研项目(2006KJ017A)
芜湖市科技局的科研项目([2009]190)
关键词
RBF
多电梯
运行系统
故障预测
RBF
multi-elevator
operating system
fault predication
