关键词: BP神经网络, 催化湿式氧化, 正丁酸, 降解, 数学模拟与优化

Abstract: Effects of initial TOC of butyric acid, catalyst dosage, reaction temperature, and initial oxygen pressure on the degradation reaction process of butyric acid under catalytic wet air oxidation were investigated, and a BP artificial neural network model for the degradation process of butyric acid under catalytic wet air oxidation was established. The simulated efficiency factor of the model was calculated to be 0.973 2 (more than 0.80), indicating the model established could well and truly forecast the residual butyric acid in the degradation reaction process of catalyticwet air oxidation. Meanwhile, the reaction condition optimization of butyric acid under catalytic wet air oxidation based on the BP artificial neural network model was carried out, and the results show that the degradation efficiency of butyric acid under catalytic wet air oxidation was nearly enhanced by 20%.

Key words: BP artificial neural network, catalytic wet air oxidation, butyric acid, degradation, mathematic simulation and optimization