基于BP神经网络在金属加工中的预报技术研究

Research on prediction technology of metal working based on BP neural network

介绍了利用BP神经网络进行连铸结晶器漏钢预报的基本方法,优化神经网络系统的结构和参数,介绍了粘结性漏钢的温度波形特点,同时用C#开发了单偶、横向、纵向漏钢预报系统,能快速准确地对粘结性漏钢进行预报。

By using BP neural network is introduced for continuous casting crystallizer and the basic methods of breakout prediction, optimizing the structure of neural network system and parameters, this paper introduces the temperature wave characteristics of bonding steel leakage, at the same time with c # developed single accidentally, transverse, longitudinal steel leakage prediction system, can rapidly and accurately for bonding steel leakage prediction.