%0 Journal Article
%T Applying Particle Swarm Optimization to The Quantitative Texture Analysis based on Maximum Entropy Method<br>粒子群优化在最大熵法定量织构分析中的应用
%A WANG Dazhi
%A WANG Dapeng
%A WANG Dingwei
%A ZUO Liang
%A WANG Fu
%A LIANG Zhide
%A <br>王大志
%A 王大鹏
%A 汪定伟
%A 左良
%A 王福
%A 梁志德
%J 金属学报
%D 2008
%I 
%X In this article presented, the Particle Swarm Optimization (PSO) with inertia weight factor was applied for the quantitative texture analysis based on Maximum Entropy Method (MEM). Following this method, one has obtained fairly satisfying calculation results of complete orientation distribution for many samples of Deep-drawing Steel sheets and purity copper with macro orthogonal symmetry. In the processing data, there is not any assumption except the entropy is maximum. The samples compositions, texture components as well as their orientation distributions have no effect on the calculating results.
%K Particle Swarm Optimization (PSO)
%K Textures
%K Orientation Distribution Function (ODF)
%K Maximum Entropy M<br>冷轧钢板
%K 织构
%K 粒子群算法
%K 晶体取向分布
%K 最大熵法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=AB188D3B70B071C57EB64E395D864ECE&jid=B061E1135F1CBDEE96CD96C109FEAD65&aid=C8DF4A9CDC1073AA1F007B6FC3072B7F&yid=67289AFF6305E306&vid=1AE5323881A5ECDC&iid=0B39A22176CE99FB&sid=DD74772618543076&eid=3E0812ED84A7B31D&journal_id=0412-1961&journal_name=金属学报&referenced_num=0&reference_num=13