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杨春玲
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引用
期刊论文
Optimum Identifications of Spectral Emissivity and Temperature for Multi-Wavelength Pyrometry*
CHINA. PHYS. LETT. Vol.20, No.10 (2003)，-0001，（）：
The main problem of the traditional radiation pyrometry is that fatal errors will be caused by the unknown or varying emissivity. Based on the conbined neural networks (CNNE model), we propose an inproved method for emissivity modelling. The model structure and the optimum algorithm are descibewd. This method being used, the spectral emissivity and temperature can be fast computed accurately from the spectral radiation measured.
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