Spectral emissivity calculation based on extreme learning machine

Li Fu, HenanWang, Yu Gong, Jinxin Fu
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Abstract

Spectral emissivity has important research significance and application value in the fields of national defense and medical science. The network training is carried out on the test samples through the ELM modeling method in this paper, and the results show that the blackbody is band infrared radiation brightness model in the range of 3 ~ 5μm and 8 ∼ 12μm, used to calculate the different wavelengths of blackbody spectral emissivity. The comparison of the standard blackbody shows that the maximum relative error between the spectral emissivity and the actual spectral emissivity of the ELM network model is less than 1%, and the method is applied to the calculation of the target spectral emissivity of the aircraft skin.
基于极限学习机的光谱发射率计算
光谱发射率在国防和医学领域具有重要的研究意义和应用价值。本文通过ELM建模方法对测试样本进行网络训练,结果表明,该黑体在3 ~ 5μm和8 ~ 12μm范围内为波段红外辐射亮度模型,用于计算不同波长黑体的光谱发射率。与标准黑体的对比表明,ELM网络模型的光谱发射率与实际光谱发射率的最大相对误差小于1%,并将该方法应用于飞机蒙皮目标光谱发射率的计算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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