化工学报2012，Vol.63Issue(10)：3190-3195,6.DOI:10.3969/j.issn.0438-1157.2012.10.026
基于BP神经网络的脉冲放电等离子体氧化酸性橙Ⅱ影响因素分析
Analysis of factors effecting acid orange 7 decoloration in pulsed discharge plasma system based on BP neural network model
摘要
Abstract
In order to account for the effect of various factors on acid orange 7 (AO7) decoloration in a pulsed discharge plasma (PDP) system with a multi-needle-to-plate electrode, the BP neural network model is used in this paper to simulate the oxidation process of PDP under different reaction conditions. This review focuses on the changing trends of AO7 decoloration efficiency under different solution conditions, including initial concentration, initial electrical conductivity and initial pH of AO7 solution. The results show that the differentials between the predicted values obtained from the established BP neural network model and the experimental values are within it 5%, so the BP neural network model can be used to forecast the influence rule of solution conditions on decoloration rate. The analytic results indicate that AO7 decoloration rate is higher under certain initial solution concentration, solution conductivity has little effect on AO7 decoloration efficiency and acid solution condition is favorable for AO7 degradation in the PDP system.关键词
脉冲放电等离子体/酸性橙Ⅱ/脱色/BP神经网络/模型Key words
pulsed discharge plasma/ acid orange 7/ decoloration/ BP neural network/ model分类
信息技术与安全科学引用本文复制引用
刘朝华,王慧娟,吴春笃,梅强..基于BP神经网络的脉冲放电等离子体氧化酸性橙Ⅱ影响因素分析[J].化工学报,2012,63(10):3190-3195,6.基金项目
中国博士后科学基金项目(20110491353) （20110491353）
江苏省博士后基金项目(1102116C) （1102116C）
江苏大学高级人才基金项目(08JDG057). （08JDG057）
