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TheScientificWorldJOURNAL
Volume 11, Pages 992-1004
http://dx.doi.org/10.1100/tsw.2011.95
Research Article

Prediction on the Seasonal Behavior of Hydrogen Sulfide Using a Neural Network Model

1Department of Electronic Engineering, Sejong University, Seoul, Republic of Korea
2Department of Computer Engineering, Sejong University, Seoul, Republic of Korea
3Department of Environment and Energy, Sejong University, Seoul, Republic of Korea

Received 19 January 2011; Revised 4 April 2011; Accepted 4 April 2011

Academic Editor: Richard Brown

Copyright © 2011 Byungwhan Kim et al.

How to Cite this Article

Byungwhan Kim, Joogong Lee, Jungyoung Jang, Dongil Han, and Ki-Hyun Kim, “Prediction on the Seasonal Behavior of Hydrogen Sulfide Using a Neural Network Model,” TheScientificWorldJOURNAL, vol. 11, pp. 992-1004, 2011. https://doi.org/10.1100/tsw.2011.95.