Estimating the chemical reaction kinetics of p-xylene oxidation using artificial neural network without traditional kinetic equations

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Key Laboratory of Advanced Control, Optimization for Chemical Processes of Ministry of Education, East China University of Science and Technology, Shanghai [1 ]
200237, China
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J. Chem. Eng. Jpn. | / 10卷 / 782-787期
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Number:; 21176073; Acronym:; -; Sponsor:;
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Neural networks
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