压铸浇注工艺参数的人工神经网络优化设计

Optimizing Gating System Parameters of Die Casting in Virtue of Artificial Neural Network

在总结大量的实践经验的基础上,采用神经元网络方法,借助MATLAB6.0平台及其神经网络工具箱,建立了内浇口速度与填充时间的多输入———多输出神经网络模型,并通过实际算例进行了验证。

In this paper,based on a lot of practical experience,the neural network model for the cavity filling time and velocity of molten metal at gate is set up by means of the method of neural network and MATLAB6.0 along with it neural network toolbox.This model is multiinput and multioutput.And it has been proved by practical example.