BP神经网络在铝电解质分子比预报中的应用

Application of BP neural network to predicting value of bath ratio in aluminum electrolyte

以电解质分子比和影响变量为基础构建了BP神经网络模型,并利用Matlab软件中的函数对数据样本进行了标准化处理,简便地实现了BP神经网络的建立、训练和仿真。结果表明,BP神经网络模型应用于铝电解质分子比的预报是行之有效的。

A BP artificial neural network model based on bath ratio of electrolyte and influence factors is established. Standardization of sample data , building, training and stimulation of back forward BP neural networks were conveniently realized on Matlab softuware. The results indicate that it is effective to apply this networks to predicting bath ratio in aluminum electrolyte.