摘要
针对离心泵性能实测过程繁琐费用昂贵以及鉴于神经网络在非线性系统映射的优越性,提出利用神经网络中的BP网络模型来预测离心泵的性能,并用Matlab7对一系列的离心泵进行性能预测。预测结果表明:神经网络可以实现对离心泵性能的精确预测并用于实际应用。
Aimed at the costliness and the complex process of centrifugal pump performance test and in vie.w of the non-linear advantage about neural network,it brings forward predicting centrifugal pump performance using BP neural networks. Meanwhile, predicting pump performance is put into practice using MATLAB. Experimentation indicated that the predicting precision contented to the need of project
出处
《机械设计与制造》
北大核心
2008年第10期73-74,共2页
Machinery Design & Manufacture
基金
大连市科技计划资助项目(2005A10GX108)
关键词
离心泵
神经网络
BP网络模型
性能预测
Centrifugal pump
Neural network
BP network model
Performance prediction
