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．
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.
出处
《哈尔滨工业大学学报》
EI
CAS
CSCD
北大核心
1998年第6期1-3,共3页
Journal of Harbin Institute of Technology
基金
国家自然科学基金!980151-024-6019
