%0 Journal Article
%T Neurocomputing van der Pauw function for the measurement of a semiconductor''s resistivity without use of the learning rate of weight vector regulation<br>应用神经计算范德堡函数无需加权向量调整学习率的半导体电阻率测量方法
%A Li Hongli
%A Sun Yicai
%A Wang Wei
%A Harry Hutchinson
%A <br>李宏力
%A 孙以材
%A 王伟
%A Harry Hutchinson
%J 半导体学报
%D 2011
%I 
%X Van der Pauw's function is often used in the measurement of a semiconductor's resistivity. However, it is difficult to obtain its value from voltage measurements because it has an implicit form. If it can be expressed as a polynomial, a semiconductor's resistivity can be obtained from such measurements. Normally, five orders of the abscissa can provide sufficient precision during the expression of any non-linear function. Therefore, the key is to determine the coefficients of the polynomial. By taking five coefficients as weights to construct a neuronetwork, neurocomputing has been used to solve this problem. Finally, the polynomial expression for van der Pauw's function is obtained.
%K measurement of the semiconductor's resistivity
%K van der Pauw function
%K reversal development
%K neurocomputing
%K polynomial match
%K learning rate of weight vector regulation<br>半导体电阻率测量
%K 范德堡函数
%K 反演过程
%K 神经计算
%K 多项式匹配
%K 加权向量调整学习率
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=025C8057C4D37C4BA0041DC7DE7C758F&aid=C6D3D1CB1D1B4FDF9DE82476E93990ED&yid=9377ED8094509821&vid=9971A5E270697F23&iid=59906B3B2830C2C5&sid=B138F0E8E4359F20&eid=5D311CA918CA9A03&journal_id=1674-4926&journal_name=半导体学报&referenced_num=0&reference_num=6