Discussions and Closures
Aug 2, 2017

Discussion of “Potential Assessment of Neural Network and Decision Tree Algorithms for Forecasting Ambient PM2.5 and CO Concentrations: Case Study” by Chandrra Sekar, B. R. Gurjar, C. S. P. Ojha, and Manish Kumar Goyal

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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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Published In

Go to Journal of Hazardous, Toxic, and Radioactive Waste
Journal of Hazardous, Toxic, and Radioactive Waste
Volume 21Issue 4October 2017

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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Authors

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Salar Khani [email protected]
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]
Masoud Ravansalar [email protected]
Ph.D. Student, Dept. of Civil Engineering, Univ. of Qom, 3716146611 Qom, Iran. E-mail: [email protected]

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