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ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
Published on: August 19, 2021
[The effect of adjusting the ANN's parameters on the identifying of biology spectrum]
Wei-jie Shi1, Tie-qiang Zhang, Yong-mei Zheng
1Physics College, Nanling Campus, Jilin University, Changchun 130025, China.
Abstract:
A method to identify the visible spectrum of micro areas on the biological surface with artificial neural net (BP-ANN) was introduced in this paper. The visible spectra (from 500 nm to 730 nm) of the micro areas with some rotten or scars on the surface of the apples were measured with fiber sensor spectrometer. A kind of ANN with a single hidden layer was created to identify the characters on the surface automatically. The effects of different ranges of output, different training functions, different number of single hidden layers, and different noise levels on the ANN were also studied.
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