2-D nonlinear corretion in an improved BP neural network
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College of Information & Technology, Henan University of Science and Technology, Luoyang 471003, China
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Received Date:
2011-03-03
Accepted Date:
2011-05-24
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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.
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