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基于神经网络模型的多波长辐射测温的研究
引用本文:孙晓刚 何瑾. 基于神经网络模型的多波长辐射测温的研究[J]. 哈尔滨工业大学学报, 1998, 30(6): 1-3
作者姓名:孙晓刚 何瑾
作者单位:哈尔滨工业大学精密仪器系!150001
基金项目:国家自然科学基金!980151-024-6019
摘    要:首次将神经网络理论应用于多光谱辐射测温领域,实验结果表明,该方法可以从根本上取消大多数工程材料发射率与波长之间的假设模型,可以克服最小二乘范畴解决上述问题的局限性,是一种解决目标真温及光谱发射率等测量问题行之有效的新方法。

关 键 词:多波长辐射测温 神经网络 BP模型 温度测量系统

Stody of Multi-wavelength Thermometry Based on Neural Network Model
Sun Xiaogang, He Jin, Dai Jinmin, Chu Zaisiang. Stody of Multi-wavelength Thermometry Based on Neural Network Model[J]. Journal of Harbin Institute of Technology, 1998, 30(6): 1-3
Authors:Sun Xiaogang   He Jin   Dai Jinmin   Chu Zaisiang
Affiliation:Dept. of Precision Instrument of HIT
Abstract:The theory of neural networks has been applied in the field of thermomtry for the first time. The experimental results show that the assumption for the most engineering materials can be cancelled by using the neural networ method which is an effective method for solving the true temerature and endssivity measurement and can overcome the lindtation of the least square method used to solve the abave-mentioned problems.
Keywords:Multi-wavelength thermometry  neural network  BP model
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