用人工神经元方法预报IF钢性能

江建华; 马衍伟; 王先进

doi:10.13374/j.issn1001-053x.1997.05.011

江建华, 马衍伟, 王先进. 用人工神经元方法预报IF钢性能[J]. 工程科学学报, 1997, 19(5): 467-470. DOI: 10.13374/j.issn1001-053x.1997.05.011

引用本文:

江建华, 马衍伟, 王先进. 用人工神经元方法预报IF钢性能[J]. 工程科学学报, 1997, 19(5): 467-470. DOI: 10.13374/j.issn1001-053x.1997.05.011

Jiang Jianhua, Ma Yanwei, Wang Xianjin. Prediction of Properties of IF Steel Using Neural Network Model[J]. Chinese Journal of Engineering, 1997, 19(5): 467-470. DOI: 10.13374/j.issn1001-053x.1997.05.011

Citation:

Jiang Jianhua, Ma Yanwei, Wang Xianjin. Prediction of Properties of IF Steel Using Neural Network Model[J]. Chinese Journal of Engineering, 1997, 19(5): 467-470. DOI: 10.13374/j.issn1001-053x.1997.05.011

用人工神经元方法预报IF钢性能

Prediction of Properties of IF Steel Using Neural Network Model

摘要

摘要: 用人工神经元方法分析IF钢性能与成分、加工工艺之间关系.通过实验与现场数据训练1个前向网络的考核结果表明，该方法是用于大生产中IF钢成分与工艺设计的有效方法.

Abstract: A method for design of artificial neural network to predict properties of IF steel was studied. Based on the experimental data, a neural network was established. It is concluded that artificial neural network is an effective method for the process and composition design for large scale production of IF steel.

HTML全文

参考文献(0)

资源附件(0)

/