首页 | 本学科首页   官方微博 | 高级检索  
     检索      

人工神经网络在7175高强铝合金时效动力学研究中的应用
引用本文:宋仁国,张奇志.人工神经网络在7175高强铝合金时效动力学研究中的应用[J].东北大学学报(自然科学版),1995,16(2):219-222.
作者姓名:宋仁国  张奇志
摘    要:用人工神经网络方法研究了形变、固溶时间对7175高强铝合金时效动力学的影响,研究结果可用于寻找适合于7175铝合金的最佳热处理工艺。

关 键 词:神经网络  铝合金  时效动力学  热处理

Artificial Neural Networks Applied to Investigation on Aging Dynamics of 7175 High Strength Al Alloy
Song Renguo,Zhang Qizhi,Zeng Meiguang,Zhang Baojin.Artificial Neural Networks Applied to Investigation on Aging Dynamics of 7175 High Strength Al Alloy[J].Journal of Northeastern University(Natural Science),1995,16(2):219-222.
Authors:Song Renguo  Zhang Qizhi  Zeng Meiguang  Zhang Baojin
Institution:Song Renguo;Zhang Qizhi;Zeng Meiguang;Zhang Baojin
Abstract:Effects of deformation and time for solid solution on aging dynamics of aluminium alloy 7175we investigated by means of artificial neural networks. The result is proved available to finding up an optimum heat-treatment regime for aluminium alloy 7175.
Keywords:artificial neural networks  high-strength aluminium alloy  aging dynamics  genetic algorithm    
本文献已被 CNKI 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号