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基于模糊神经网络的往复压缩机的性能预测研究
引用本文:刘晓华,张冬辉.基于模糊神经网络的往复压缩机的性能预测研究[J].煤矿机械,2011(10):94-96.
作者姓名:刘晓华  张冬辉
作者单位:唐山工业职业技术学院;
摘    要:为了能够准确地预测出离心泵的性能参数值,利用了径向基函数神经网络(RBF)建立对其进行性能预测的神经网络模型,可以研究离心泵的流量,叶片出口安装角,压力比和效率之间的神经网络与预测关系。利用MATLBA软件实现了RBF神经计算,分别对离心泵的压力比和效率进行了性能预测,预测效果表明,RBF神经网络的计算模型可以提高预测效率和预测精度。

关 键 词:RBF神经网络  离心泵  性能预测

Study on Predication on Performance of Centrifugal Pump Based on RBF Neutral Network
LIU Xiao-hua,ZHANG Dong-hui.Study on Predication on Performance of Centrifugal Pump Based on RBF Neutral Network[J].Coal Mine Machinery,2011(10):94-96.
Authors:LIU Xiao-hua  ZHANG Dong-hui
Affiliation:LIU Xiao-hua,ZHANG Dong-hui(Tangshan Industrial Vocational Technology College,Tangshan 063020,China)
Abstract:In order to predict performance parameter value of centrifugal pump correctly,the neutral network model for predicting performance of centrifugal pump was contracted based on RBF neutral network and neutral network and predicting model of flow rate,the outlet setting angle of impeller,the pressure ratio and efficient could be studied.The RBF neutral calculation was achieved by MATLAB software,the pressure ratio and efficient of centrifugal pump was predicted.The results showed that calculation model of RBF ...
Keywords:RBF neutral network  centrifugal pump  predication of performance  
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