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Steady Modeling for an Ammonia Synthesis Reactor Based on a Novel CDEAS-LS-SVM Model
Author(s) -
Zhuoqian Liu,
Lingbo Zhang,
Wei Xu,
Xingsheng Gu
Publication year - 2014
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2014/168371
Subject(s) - support vector machine , convergence (economics) , adaptability , process (computing) , ammonia production , computer science , identification (biology) , steady state (chemistry) , mathematical optimization , ammonia , control theory (sociology) , artificial intelligence , mathematics , chemistry , ecology , botany , control (management) , organic chemistry , economics , biology , economic growth , operating system
A steady-state mathematical model is built in order to represent plant behavior under stationary operating conditions. A novel modeling using LS-SVR based on Cultural Differential Evolution with Ant Search is proposed. LS-SVM is adopted to establish the model of the net value of ammonia. The modeling method has fast convergence speed and good global adaptability for identification of the ammonia synthesis process. The LS-SVR model was established using the above-mentioned method. Simulation results verify the validity of the method

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