Discussion of “Potential Assessment of Neural Network and Decision Tree Algorithms for Forecasting Ambient and CO Concentrations: Case Study” by Chandrra Sekar, B. R. Gurjar, C. S. P. Ojha, and Manish Kumar Goyal
This article is a reply.
VIEW THE ORIGINAL ARTICLEAuthors: Salar Khani [email protected], Taher Rajaee https://orcid.org/0000-0002-6708-7484 [email protected], and Masoud Ravansalar [email protected]Author Affiliations
Publication: Journal of Hazardous, Toxic, and Radioactive Waste
Volume 21, Issue 4
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References
MAC (Machine Applications Corporation). (2011). The MAC humidity/moisture handbook, Sandusky, OH.
Perry, R. H., Green, D. W., Maloney, J. O., Abbott, M. M., Ambler, C. M., and Amero, R. C. (1997). Perry’s chemical engineers’ handbook, Vol. 7, McGraw-Hill, New York.
Rajaee, T., Nourani, V., Zounemat-Kermani, M., and Kisi, O. (2011). “River suspended sediment load prediction: Application of ANN and wavelet conjunction model.” J. Hydrol. Eng., 613–627.
Rokach, L., and Maimon, O. (2007). Data mining with decision trees: Theory and applications, World Scientific, Singapore.
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©2017 American Society of Civil Engineers.
History
Received: Jun 12, 2015
Accepted: May 24, 2016
Published online: Aug 2, 2017
Published in print: Oct 1, 2017
Discussion open until: Jan 2, 2018
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Ph.D. Student, Dept. of Civil Engineering, Univ. of Qom, 3716146611 Qom, Iran. E-mail: [email protected]
Associate Professor, Dept. of Civil Engineering, Univ. of Qom, 3716146611 Qom, Iran (corresponding author). ORCID: https://orcid.org/0000-0002-6708-7484. E-mail: [email protected]; [email protected]
Ph.D. Student, Dept. of Civil Engineering, Univ. of Qom, 3716146611 Qom, Iran. E-mail: [email protected]
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