半导体学报2011，Vol.32Issue(12)：32-39,8.DOI:10.1088/1674-4926/32/12/122002
Neurocomputing van der Pauw function for the measurement of a semiconductor's resistivity without use of the learning rate of weight vector regulation
Neurocomputing van der Pauw function for the measurement of a semiconductor's resistivity without use of the learning rate of weight vector regulation
Li Hongli 1Sun Yicai 2Wang Wei 1Harry Hutchinson1
作者信息
- 1. Hebei University of Technology, Tianjin 300130, China
- 2. Tianjin Vocational Institute, Tianjin 300410, China
- 折叠
摘要
Abstract
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.关键词
measurement of the semiconductor's resistivity/ van der Pauw function/ reversal development/ neurocomputing/ polynomial match/ learning rate of weight vector regulationKey words
measurement of the semiconductor's resistivity/ van der Pauw function/ reversal development/ neurocomputing/ polynomial match/ learning rate of weight vector regulation引用本文复制引用
Li Hongli,Sun Yicai,Wang Wei,Harry Hutchinson..Neurocomputing van der Pauw function for the measurement of a semiconductor's resistivity without use of the learning rate of weight vector regulation[J].半导体学报,2011,32(12):32-39,8.
