Title :
The prediction research about the strength of cement based on principal component neural network
Author :
Yongzheng, Zhou ; Biyun, Xiao ; Yong, Zhou
Author_Institution :
Coll. of Inf. Eng., Jingdezhen Ceramic Inst., Jingdezhen, China
Abstract :
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.
Keywords :
cement industry; neural nets; principal component analysis; production engineering computing; PCA; artificial neural network algorithm; cement production; cement strength; fusion model; prediction error; principal component analysis; Load modeling; Predictive models; Training; The principal component analysis; artificial neural network; prediction; the fusion model of the principal component — neural network; the strength of cement;
Conference_Titel :
Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-61284-485-5
DOI :
10.1109/ICCSN.2011.6014431
