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)
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.
出处
《重庆环境科学》
北大核心
2002年第4期57-58,共2页
Chongqing Environmental Science
