Nonlinear Rectification Method of Platinum Resistance by BP Neural Network

DU Fu-Jia; WANG Da-Xing

doi:10.7523/j.issn.2095-6134.2006.2.007

Journal of University of Chinese Academy of Sciences >

2006 , Vol. 23 >Issue 2: 155 - 158

DOI: https://doi.org/10.7523/j.issn.2095-6134.2006.2.007

论文

Nonlinear Rectification Method of Platinum Resistance by BP Neural Network

DU Fu-Jia ,
WANG Da-Xing

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1 Nanjing Institute of Astronomical Optics & Technology, National Astronomical Observatories, Chinese Academy of Sciences, Nanjing 210042 China;
2 Graduate School of the Chinese Academy of Sciences, Beijing 100039,China

Received date: 1900-01-01

Revised date: 1900-01-01

Online published: 2006-03-15

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Abstract

This article uses BP neural network to calibrate nonlinear characteristic of platinum resistance, gives the structure of BP neural network and the method to train weight. The input are normalized when train the network. Finally, this neural network calibrates a fact system. This method can be achieved very easily. Using platinum becomes very convenience in measurement through this method

Key words： Platinum resistance; Nonlinear calibration; BP neural network

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DU Fu-Jia , WANG Da-Xing . Nonlinear Rectification Method of Platinum Resistance by BP Neural Network[J]. Journal of University of Chinese Academy of Sciences, 2006 , 23(2) : 155 -158 . DOI: 10.7523/j.issn.2095-6134.2006.2.007

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