Application of BP neural network in PSD nonlinear correction

被引：2
|
作者：
Yang Zhuojing [1 ]
Zhang Jianwei [1 ]
Hao Wenjie [1 ]
Yang Jinping [1 ]
机构：
[1] MLR, Ctr Hydrogeol & Environm Geol Survey China Geol S, Key Lab Monitoring Technol Geol Environm, Baoding, Hebei, Peoples R China
来源：
MATERIAL SCIENCE, CIVIL ENGINEERING AND ARCHITECTURE SCIENCE, MECHANICAL ENGINEERING AND MANUFACTURING TECHNOLOGY II | 2014年 / 651-653卷
关键词：
PSD; BP neural Network; Nonlinear; MATLAB; LM Algorithm;
D O I：
10.4028/www.scientific.net/AMM.651-653.400
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
Because resistance of two-dimensional position sensitive detector's (PSD) photo surface is not absolute uniformity that its output is nonlinear. It is this feature enables the PSD difficult to measure small displacement. In order to solve this problem, BP neural network is proposed to solve the problem of PSD nonlinear correction after the study of traditional nonlinear correction method; BP neural network would have a strong ability of nonlinear mapping after training, and it can approach arbitrarily contact function by arbitrary precision, and MATLAB neural networking boxes can simulate BP neural network easily. Simulation and verification indicate that the method has a remarkable effect in solving nonlinear problems, and it can meet system requirements.
引用
收藏
页码：400 / 404
页数：5
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