Prediction of compressive strength of concrete by neural networks

Cement and Concrete Research

Volumn 30, Issue 8, 2000, Pages 1245-1250

  Ni, Hong Guang ^a   Wang, Ji Zong ^a  

^a Hebei Institute of Architectural Science and Technology   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPRESSIVE STRENGTH; COMPUTER SIMULATION; FEEDFORWARD NEURAL NETWORKS; MATHEMATICAL MODELS; MIXING; MULTILAYER NEURAL NETWORKS; NONLINEAR EQUATIONS; STATISTICAL METHODS;

MULTILAYER FEEDFORWARD NEURAL NETWORKS;

CONCRETES;

EID: 0034242043     PISSN: 00088846     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0008-8846(00)00345-8     Document Type: Article

References (7)

1. Snell L.M., Roekel J.V., Wallace N.D. Predicting early concrete strength. Concr Int. 11(12):1989;43-47.
2. Wang J.-Z., Ni H.-G., He J.-Y. The application of automatic acquisition of knowledge to mix design of concrete. Cem Concr Res. 29:1999;1875-1880.
3. Hecht-Nielsen R. Wechsler H. Theory of the Back-Propagation Neural Network. Neural Networks for Perception. Vol. 2:1991;65-93 Academic Press, San Diego, CA.
4. Jadid M.N., Fairbairn D.R. Neural-network applications in predicting moment-curvature parameters from experimental data. Eng Appl Artif Intell. 9(3):1996;309-319.
5. Wang J.-Z., Wen X.-M., Huang Y.-X., Jiang K.-C. Dynamics and strength analysis of a MK-II screen. J China Coal Soc. 24(2):1999;184-188.
6. Wang J.-Z., Wang X.-J., De Stefano A., Sabia D. Locating a crack by neural networks using time-history data. Wen B.C. Proceedings of the International Conference on Vibration Engineering, Dalian. Vol. 2:1998;757-761 Northeastern Univ. Press, China.
7. Wang J.-Z., Ni H.-G. Prediction of compressive strength of cement based upon BP neural networks. J Chin Ceram Soc. 27(4):1999;408-414.