首页 | 本学科首页   官方微博 | 高级检索  
     

基于RBF神经网络的离心压缩机的性能预测研究
引用本文:黄胜忠.基于RBF神经网络的离心压缩机的性能预测研究[J].煤矿机械,2011,32(1):64-66.
作者姓名:黄胜忠
作者单位:柳州师范高等专科学校数学与计算科学系,广西,柳州,545004
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。

关 键 词:RBF神经网络  离心压缩机  性能预测

Study of Predication on Performance of Centrifugal Compressor Based on RBF Neutral Network
HUANG Sheng-zhong.Study of Predication on Performance of Centrifugal Compressor Based on RBF Neutral Network[J].Coal Mine Machinery,2011,32(1):64-66.
Authors:HUANG Sheng-zhong
Affiliation:HUANG Sheng-zhong(Department of Mathematics and Computer Science Liuzhou Teachers College Liuzhou,Liuzhou 545004,China)
Abstract: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 t...
Keywords:RBF neutral network  centrifugal compressor  predication of the performance  
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号