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神经网络的BP算法研究高速钢轧辊的热处理工艺
引用本文:邹德宁,李娇,李云华,张子义. 神经网络的BP算法研究高速钢轧辊的热处理工艺[J]. 铸造技术, 2007, 28(11): 1518-1521
作者姓名:邹德宁  李娇  李云华  张子义
作者单位:西安建筑科技大学冶金工程学院,陕西,西安,710055
基金项目:西安市科技工业攻关项目
摘    要:材料的处理工艺和性能之间具有很强的非线性关系,人工神经网络是解决非线性映射关系的一种有效的方法。本文以离心铸造高速钢轧辊的热处理工艺与性能的关系为研究对象,以人工神经网络中的BP算法为基础,借助MATLAB工具设计出具有预测高速钢轧辊性能的网络模型,训练后的网络模型对高速钢轧辊的硬度进行预测,得到了较好的效果。

关 键 词:高速钢轧辊  热处理  BP神经网络  硬度
文章编号:1000-8365(2007)11-1518-04
修稿时间:2006-12-28

Study the Heat Treatment of Casting High Speed Steel Roll by Using Artificial Neutral Network BP Algorithm
ZOU De-ning,LI Jiao,LI Yun-hua,ZHANG Zi-yi. Study the Heat Treatment of Casting High Speed Steel Roll by Using Artificial Neutral Network BP Algorithm[J]. Foundry Technology, 2007, 28(11): 1518-1521
Authors:ZOU De-ning  LI Jiao  LI Yun-hua  ZHANG Zi-yi
Abstract:There is a very strong relationship between the heat treatment and properties of materials. Since the artificial neural network is effective to solve the nonlinear relationship. This study focused on the casting high speed steel roll, employed the back propagation algorithm of artificial neutral network and Matlab software to design the predicting model. With the trained model, the hardness of roll inner layer was predicted and the desired result was obtained.
Keywords:Casting high speed steel roll   Heat treatment   BP network   The forecasting of the properties
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