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Mathematical Modeling of HCL Gas Emission Based on GEP
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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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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