The Prediction Research about the Strength of Cement based on Principal Component Neural Network

摘要：

The study of this disquisition is about the fusion model of the PCA (principal component analysis) and artificial neural network algorithm;applies the model to the prediction research about the strength of cement;then comes to the conclusion that the Prediction Error is very little. Therefore, the study of this disquisition can be used to guide the. production practice of cement.

关键词： The principal component analysis artificial neural network the fusion model of the principal component -neural network the strength of cement prediction

作者: ZHOU Yongzheng XIAO Biyun ZHOU Yong

作者单位: College of Information Engineering Jingdezhen Ceramic Institute Jingdezhen, China

会议类型: 国际会议

会议名称: 2011 2nd International Conference on Data Storage and Data Engineering(DSDE 2011)(2011年第二届数据存储与数据工程国际会议)

会议地点: 西安

会议语种:英文

页码: 238-241

在线出版日期: 2011-05-13（万方平台首次上网日期，不代表论文的发表时间）