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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 radial basis function neural network (RBF) is used to establish the neural network model of centrifugal compressor performance prediction, which can accurately predict the centrifugal compressor performance parameters of the size of centrifugal compressor flow can be analyzed, the blade outlet installation angle, Relationship between pressure ratio and efficiency of neural networks and prediction. The performance prediction of the centrifugal compressor is completed by the software MATLBA. The pressure ratio and efficiency of the centrifugal compressor are respectively predicted. The prediction results show that the calculation model of RBF neural network can improve the prediction efficiency and prediction accuracy.