摘要
本文将人工神经网络用于建立7175铝合金的性能预测模型;在此基础上,采用遗传算法对其工艺进行优化,获得了满意的结果,从而为材料工艺优化研究探索了一条崭新的途径。
Artificial neural networks were used to construct the model of properties prediction in 7175 aluminium alloy. On this basis, the technology was optimizationed by using genetic algorithm, and a satisfying result has been obtained. Hence providing a brand new way for materials technology optimization investigation.
出处
《材料科学与工程》
CSCD
1998年第1期28-31,共4页
Materials Science and Engineering
关键词
7175铝合金
铝合金
遗传算法
工艺优化
aluminium alloy, Artificial neural networks, Genetic algorithm, Technology optimization.