Discussion of “Application of Neural Networks for Estimation of Concrete Strength” by Jong-In Kim, Doo Kie Kim, Maria Q. Feng, and Frank Yazdani
This article is a reply.
VIEW THE ORIGINAL ARTICLEPublication: Journal of Materials in Civil Engineering
Volume 17, Issue 6
Get full access to this article
View all available purchase options and get full access to this article.
References
Cladera, A., and Mari, R. (2004). “Shear design procedures for reinforced normal and high-strength concrete beams using artificial neural networks. Part I: Beams without stirrups.” Eng. Struct., 26(7), 917–926.
Garret, J. H., Jr., Ranjithan, S., and Eheart, J. W. (1992). “Application of neural network to groundwater remediation.” Expert Systems for Civil Engineers: Knowledge Representation, R. H. Allen, ed., ASCE, New York, 259–269.
Ghaboussi, J., Garret, J. H., Jr., and Wu, X. (1991). “Neural networks and their application to civil engineering problems.” Expert Systems for Civil Engineers: Knowledge Representation, R. H. Allen, ed., ASCE, New York, 104–143.
Jain, A., and Srinivasulu, S. (2004). “Development of effective and efficient rainfall-runoff models using integration of deterministic, real-coded genetic algorithms, and artificial neural network techniques.” Water Resour. Res., 40(4).
Jain, A., Sudheer, K. P., and Srinivasulu, S. (2004). “Identification of physical processes inherent in artificial neural network rainfall runoff models.” Hydrolog. Process., 118(3), 571–581.
Ni, H. G., and Wang, J. Z. (2000). “Prediction of compressive strength of concrete by neural networks.” Cem. Concr. Res., 30(8), 1245–1250.
Park, D. C., El-Sharkawi, M. A., Mark, R. J. II, Atlas, L. E., and Damborg, M. J. (1991). “Electric load forecasting using an artificial neural network.” IEEE Trans. Power Syst., 6(2), 442–449.
Rajasekaran, S., and Lee, S. C. (2003). “Prediction of concrete strength using serial functional network model.” Struct. Eng. Mech., 16(1), 83–99.
Rehak, D. R., Thewalt, C. R., and Doo, L. B. (1989). “Neural network approaches in structural mechanics computations.” Proc., Structures Congress’89, ASCE, New York, pp. 168–176.
Sharda, R., and Patil, R. B. (1990). “Connectionist approach to time series prediction: An empirical test.” Technical Rep. No. 90-26:11-90, College of Business Administration, Oklahoma State Univ., Stillwater, Oklahoma.
Sudheer, K. P., and Jain, A. (2004). “Explaining the internal behavior of artificial neural network river flow models.” Hydrolog. Process., 118(4), 833–844.
Wang, J. Z., Ni, H. G., and He, J. Y. (1999). “Application of automatic acquisition of knowledge to mix design of concrete.” Cem. Concr. Res., 29(12), 1875–1880.
Wilby, R. L., Abrahart, R. J., and Dawson, C. W. (2003). “Detection of conceptual model rainfall-runoff processes inside an artificial neural network.” Hydrol. Sci. J., 48(2), 163–181.
Zhao, Z. Y., and Ren, L. Q. (2002). “Failure criterion of concrete under triaxial stresses using neural networks.” Comput. Aided Civ. Infrastruct. Eng., 17(1), 68–73.
Information & Authors
Information
Published In
Copyright
© 2005 ASCE.
History
Published online: Dec 1, 2005
Published in print: Dec 2005
Notes
Note. Associate Editor:
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.