Mathematical Modeling of HCL Gas Emission Based on GEP

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Abstract:

For the characteristics of acid regeneration which is highly complex and nonlinear and the problem of unstable emission concentration of HCL gas in steel industry, Gene Expression Programming is applied to mathematical modeling emission concentration of HCL gas of acid regeneration in a steel factory. 11 key process variables are taken as modeling variables to mine model in history data with GEP, which is then applied to predicting emission concentration in training set and validation set. The results indicate that the model set up by GEP can predict emission concentration effectively, and conduct the production of acid regeneration timely and accurately.

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Periodical:

Advanced Materials Research (Volumes 452-453)

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679-683

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Online since:

January 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] ZHU Ming-fang, WANG Hong-tao, REN Yan-ling. Modeling and predicting total number of private cars based on GEP [J]. Application Research of Computers, 2010, 27(3): 958-960.

Google Scholar

[2] Gu Kaibo, Gu Kaifen. Application of New Environment Technology for Cold Rolling Spent Acid Regeneration [J]. METALLURGICAL EQUIPMENT, 2009, 2(1): 66-69.

Google Scholar

[3] Cândida Ferreira. Gene Expression Programming: Mathematical Modeling by an Artificial Intelligence [M]. 2th ed. Heidelberg, Germany: Springer-Verlag, 2006: 55-73.

Google Scholar

[4] Cândida Ferreira. Gene expression programming: a new adaptive algorithm for solving problem [J]. Complex Systems, 2001, 13(2): 87-129.

Google Scholar

[5] TANG Chang-jie, ZHANG Tian-qing, ZUO Jie. Knowledge discovery based on Gene Expression Programming-History, achievements and future directions [J]. Acta Automatica Sinica, 2004, 24(10): 7-10.

Google Scholar

[6] YANG Jing, HU Min, WU Geng-feng. Application and research of improved gene expression programming [J]. Computer Engineering and Application, 2007, 43(6): 240-243.

Google Scholar

[7] ZUO Jie. Research on core technologies of gene expression programming [D]. Chengdu, China: Sichuan University, (2004).

Google Scholar

[8] ZHANG Chun-qing. Acid Reproduction Technology and Equipment Character in Baosteel Cold Rolling Mill [J]. Gongye Jiare, 2004, 33(14): 56-58.

Google Scholar

[9] MO Hai-fang, KANG Li-shan. Automatic Modeling of Complex Functions Based on Gene Expression Programming [J]. Journal of System Simulation, 2008, 20(11): 2828-2831.

Google Scholar

[10] Dai Wenbin, Zhang Yuntao. Application of GEP in the soft sensing model of translate percentage of carbon dioxide [J]. Computers and Applied Chemist, 2007, 24(10): 1371-1374.

Google Scholar