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BP人工神经网络预测邻苯二甲酸酯光化学降解
BP Artificial Neutral Net in Forecasting the Photochemical Degradation of Phthalates
【摘要】 将反向传播人工神经网络 (BP- ANN)用于邻苯二甲酸酯类化合物的光化学降解的预测中。选取正交设计的试验点作为反向传播人工神经网络的训练集 ,实现对全实验域试验点的预测 ,并与实测的试验数据比较。结果表明反向传播人工神经网络 (BP- ANN)具有良好的预测能力
【Abstract】 Back propagating artificial neutral net(BP-ANN) was applied to the forecasting of photochemical degradation of phthalates.The trials of orthogonal design were chosen as the training set of the BP-ANN,and forecasted the trails of the entire field.The results showed that these estimated data were in good agree with the present ones and the BP-ANN had good forecasting ability.
【关键词】 BP人工神经网络;
光化学降解;
邻苯二甲酸酯;
【Key words】 Back propagating artificial neutral net (BP-ANN); Photochemical gradation; Phthalates;
【Key words】 Back propagating artificial neutral net (BP-ANN); Photochemical gradation; Phthalates;
- 【文献出处】 重庆环境科学 ,Chongqing Environmental Science , 编辑部邮箱 ,2002年04期
- 【分类号】X705
- 【被引频次】11
- 【下载频次】111