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Jan 19, 2016

Discussion of “Modeling and Prediction of Hourly Ambient Ozone (O3) and Oxides of Nitrogen (NOx) Concentrations Using Artificial Neural Network and Decision Tree Algorithms for an Urban Intersection in India” by Chandrra Sekar, C. S. P. Ojha, B. R. Gurjar, and Manish Kumar Goyal

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Publication: Journal of Hazardous, Toxic, and Radioactive Waste
Volume 20, Issue 3
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References

Mitchell, T. M. (1997). Machine learning, McGraw-Hill, Burr Ridge, IL, 45.
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.
Zounemat-Kermani, M., Kisi, O., andRajaee, T. (2013). “Performance of radial basis and LM-feed forward artificial neural networks for predicting daily watershed runoff.” App. Soft Comput., 13(12), 4633–4644.
Rajaee, T., and Khani, S. (2015). “Comment on ‘Artificial neural network modelling of biological oxygen demand in rivers at the national level with input selection based on Monte Carlo simulations’ A. Šiljić & D. Antanasijević & A. Perić-Grujić & M. Ristić & V. Pocajt. Environ Sci Pollut Res (2014) 22: 4230-4241.” Environ. Sci. Pollut. Res., 1–2.
Rajaee, T., Mirbagheri, S. A., Zounemat-Kermani, M., and Nourani, V. (2009). “Daily suspended sediment concentration simulation using ANN and neuro-fuzzy models.” Sci. Total Environ., 407(17), 4916–4927.
Rokach, L., and Maimon, O. (2007). Data mining with decision trees: Theory and applications, World Scientific, Singapore.
Schaffer, C. (1991). “When does overfitting decrease prediction accuracy in induced decision trees and rule sets?” Machine Learning (EWSL-91), Vol. 482, Springer, Berlin, 192–205.

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Go to Journal of Hazardous, Toxic, and Radioactive Waste
Journal of Hazardous, Toxic, and Radioactive Waste
Volume 20Issue 3July 2016

History

Received: May 26, 2015
Accepted: Jul 9, 2015
Published online: Jan 19, 2016
Discussion open until: Jun 19, 2016
Published in print: Jul 1, 2016

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Authors

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Taher Rajaee, Ph.D. [email protected]
Dept. of Civil Engineering, Univ. of Qom, 3716146611 Qom, Iran (corresponding author). E-mail: [email protected]; [email protected]
Salar Khani [email protected]
Ph.D. Candidate, Dept. of Civil Engineering, Univ. of Qom, 3716146611 Qom, Iran. E-mail: [email protected]

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