遗传神经网络在平整轧制力预报中的应用

Application of the Genetic Neural Network for Predicting Rolling Force of Skin Pass Mill

研究了平整轧制力设定的人工智能实现方法 ,采用改进的混合 GA-BP遗传神经网络算法建立了平整轧制力预报模型。传统数学模型与遗传神经网络方法获得的统计数据表明 。

This paper discusses the artificial intelligence method to set up the rolling force of skin pass mill and establishes the model to predict the rolling force of skin pass mill with the improved commix CA-DP genetic neural network arithmetic. The statistic data from traditional mathematic models and genetic neural network method shows that the genetic neural network method can gets better result that tradition models.