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| 神经元网络在钢淬透性计算中的应用 | |
| 引用本文： | 陶百生,孙彦广,高克伟.神经元网络在钢淬透性计算中的应用[J].冶金自动化,2004,28(3):40-43. |
| 作者姓名： | 陶百生 孙彦广 高克伟 |
| 作者单位： | 1. 北京金自天正智能控制股份有限公司,钢铁事业部,北京,100071 2. 冶金自动化研究设计院 3. 江阴兴澄钢铁有限公司 |
| 摘 要： | 钢淬透性的定量计算在结构件钢种的设计与制造中具有重要意义。淬透性主要取决于钢的化学成分和钢的组织结构。精确描述淬透性与钢的化学成分和钢的组织结构之间的关系是非常困难的,传统方法是采用一些经验公式。本文采用神经元网络计算方法,利用此方法的优点来克服传统方法的不足,提高钢淬透性计算的精度。 |
| 关 键 词： | 神经元网络 淬透性 离线训练 |
| 文章编号： | 1000-7059(2004)03-0040-04 |
| 修稿时间： | 2003年11月25 |
Application of neural network in calculation of steel quenching degree |
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| TAO Bai-sheng,SUN Yan-guang,GAO Ke-wei.Application of neural network in calculation of steel quenching degree[J].Metallurgical Industry Automation,2004,28(3):40-43. | |
| Authors: | TAO Bai-sheng SUN Yan-guang GAO Ke-wei |
| Affiliation: | TAO Bai-sheng~1,SUN Yan-guang~2,GAO Ke-wei~3 |
| Abstract: | Quantitative calculation of steel quenching degree has very important significance for design and manufacture of steel species applied to structure. Quenching degree is mainly determined by chemical composition and organization structure of steel.It is very difficult to describe the relation between quenching degree and chemical composition and organization structure of steel accurately.Some experiential formulas have been adopted in traditional methods. Neural network calculation method is used in our work and can overcome deficiency of some traditional methods and improve calculation accuracy of steel quenching degree. |
| Keywords: | neural network quenching degree off-line training |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |