THE APPLICATION OF ARTIFICIAL NEURAL-NETWORKS TO THE INVESTIGATION OF AGING DYNAMICS IN 7175-ALUMINUM-ALLOYS

被引：49

作者：

SONG, RG

ZHANG, QZ

TSENG, MK

ZHANG, BJ

机构：

[1] NORTHEASTERN UNIV,DEPT MAT PHYS,SHENYANG 110006,PEOPLES R CHINA

[2] NORTHEASTERN UNIV,DEPT MIN,SHENYANG 110006,PEOPLES R CHINA

来源：

MATERIALS SCIENCE & ENGINEERING C-BIOMIMETIC MATERIALS SENSORS AND SYSTEMS | 1995年 / 3卷 / 01期

关键词：

ARTIFICIAL NEURAL NETWORKS; GENETIC ALGORITHM; 7175 ALUMINUM ALLOY; AGING DYNAMICS;

D O I：

10.1016/0928-4931(95)00068-2

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Artificial neural networks (ANN) are a new type of information processing system based on modelling the neural system of human brain. Effects of deformation and solid solution time on the aging dynamics in 7175 high strength aluminium alloy have been investigated by using artificial neural networks and a genetic algorithm. The results of the study can be used to search the optimum technology adapted to 7175 aluminium alloy.

引用

页码：39 / 41

页数：3