摘要
利用径向基函数神经网络(RBF)建立对离心压缩机性能预测的神经网络模型,从而能够精确地预测出离心压缩机的性能参数的大小,能够分析离心压缩机的流量,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。应用数值计算软件MATLBA软件完成了离心压缩机的性能预测,分别对离心压缩机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。
The neutral network predict the performance parameter value of the centrifugal compressor by using radial direction basic function neutral network （RBF）, and the the performance parameters of the centrifugal compressor could be predicted precisely, and the flow rate, the outlet setting angle of the impeller, the pressure ratio and efficient could be studied. The RBF neutral calculation was achieved by MATLAB software, the pressure ratio and efficient of the centrifugal compressor was predicted. The results showed that the calculation model of the RBF neutral networks would improved the predicting efficient and predicting precision.
出处
《煤矿机械》
北大核心
2011年第1期64-66,共3页
Coal Mine Machinery
关键词
RBF神经网络
离心压缩机
性能预测
RBF neutral network
centrifugal compressor
predication of the performance
