2-D nonlinear corretion in an improved BP neural network

LIN Qing-song; YANG Xiao-jing; WANG Jun-xiao; ZHANG Ju-wei

doi:10.3969/j.issn.1001-3806.2012.01.032

LIN Qing-song, YANG Xiao-jing, WANG Jun-xiao, ZHANG Ju-wei. 2-D nonlinear corretion in an improved BP neural network[J]. LASER TECHNOLOGY, 2012, 36(1): 124-126,130. DOI: 10.3969/j.issn.1001-3806.2012.01.032

Citation:

2-D nonlinear corretion in an improved BP neural network

Graphical Abstract

Graphical Abstract

Abstract

Abstract

In order to reduce the effect of nonlinearity of a position sensitive detector(PSD),after analyzing its working principle and the reasons of nonlinearity formation,nonlinearity correction was carried out in an improved back propagation(BP)neural network based on Levenberg-Morquardt algorithm.MATLAB simulation results show that the improved BP neural network can reduce nonlinearity more effectively,and converge faster than a traditional BP neural network.After revision the PSD obtains approximate linearity in non-linear area within the linear area.This result is helpful for PSD application.