Support vector machine applied to prediction strength of cement

2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011 - Proceedings

Volumn , Issue , 2011, Pages 1585-1588

  Shi, Xu Chao ^a   Dong, Yi Feng ^a  

^a HENAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Cement; Strength; Support vector machine

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CEMENT FINENESS; INPUT VARIABLES; STATISTICAL THEORY; STRENGTH; SUPPORT VECTOR; SVM MODEL;

CEMENTS; CIVIL ENGINEERING; ELECTRONIC COMMERCE; FORECASTING; LEARNING ALGORITHMS; MANAGEMENT SCIENCE; NEURAL NETWORKS; SLAGS; SUPPORT VECTOR MACHINES;

COMPRESSIVE STRENGTH;

EID: 80053290849     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AIMSEC.2011.6010708     Document Type: Conference Paper

References (4)

1. Tsivilis S, Parissakis G.A mathematical-model for the prediction of cement strength. Cement Concrete Res, Vol 25, pp.9-14, January 1995
2. JI zong Wang, Hong guang NI, Prediction of compressive strength of cement based on BP neural networks. Journal of the Chinese Ramicsciety, Vol 27,pp.10-16, April 1999. (In Chinese)
3. V. Vapnik, the Nature of Statistical Learning Theory, Springer, NY, 1995
4. N. Cristianini, J. Shawe-Taylor, An Introduction to Support Vector Machines and Other Kernel-based Learning Methods, Cambridge University Press, New York, NY, 1999