Experiential Modeling and Comparison of Kinetics Data
Abstract：Parameters Solution of Kinetic is the main contents and key technologies of the problem of Kinetics data process. This paper introduces thermal Analysis, infinitesimal calculus method, regression analysis as well as artificial neural network and then achieves the objective of Kinetics data empirical modeling and comparison by solving parameter. Finally, with artificial neural network and regression analysis selected and Kinetics data of Saponification Reaction of ethyl acetate, results were calculated based on MATLAB programming. Through comparison analysis of the results of experimental data, it is believed that artificial neural network has shown the remarkable superiority at the aspects of reducing result error and improving the accuracy of the results of the analysis.
Keywords: Kinetic data;Parameter estimation;Artificial neural networks; Regression analysis; The experience of modeling
