The prediction research about the strength of cement based on principal component neural network

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.

[1]  Hyuk Ro Park,et al.  Automatic Summarization Based on Principal Component Analysis , 2003, EPIA.

[2]  Michifumi Yoshioka,et al.  Image compression by nonlinear principal component analysis , 1996, Proceedings 1996 IEEE Conference on Emerging Technologies and Factory Automation. ETFA '96.

[3]  John C. Platt A Resource-Allocating Network for Function Interpolation , 1991, Neural Computation.