Application of BP Neural Network in PSD Nonlinear Correction

Zhuo Jing Yang; Jian Wei Zhang; Wen Jie Hao; Jin Ping Yang

doi:10.4028/www.scientific.net/AMM.651-653.400

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 651-653Application of BP Neural Network in PSD Nonlinear...

Application of BP Neural Network in PSD Nonlinear Correction

Abstract:

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.

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Periodical:

Applied Mechanics and Materials (Volumes 651-653)

Pages:

400-404

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.651-653.400

Citation:

Cite this paper

Online since:

September 2014

Authors:

Zhuo Jing Yang*, Jian Wei Zhang, Wen Jie Hao, Jin Ping Yang

Keywords:

BP Neural Network (BPNN), LM Algorithm, MATLAB, Nonlinear, PSD

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* - Corresponding Author

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