Study of Polysilicon Texture with Acidic Corroding

被引:1
|
作者
Ye, Jianxiong [1 ]
Zhang, Fayun [2 ]
机构
[1] Nanchang Inst Technol, Dept Mech & Power Engn, Nanchang 330029, Jiangxi Prov, Peoples R China
[2] Xinyu Coll, Dept Solar Energy Sci & Engn, Xinyu 338000, Jiangxi, Peoples R China
基金
中国博士后科学基金;
关键词
Polysilicon; Texture; GA; ANN;
D O I
10.4028/www.scientific.net/AMR.204-210.189
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Many new methods for polysilicon texture are invented in solar cell preparation and isotropic acidic corroding has become one of the primary methods for its advantage of fitting for mass production. It is an unavoidable problem that how to evaluate results under different reagent ratio and different reaction time. On the base of Genetic Algorithm (GA), methods for evaluating the best process parameters are given out aided by artificial neural network (ANN), It is proved by experiments that this method can find out the best combinations of process parameters globally.
引用
收藏
页码:189 / +
页数:2
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