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APPLICATION OF ARTIFICIAL NEURAL NETWORK TO FLAME COLORIMETRIC TEMPERATURE MEASUREMENT METHOD

WEI Cheng-ye et al  
Firstly problems of error correction of colorimetric temperature measurement method based on flame radiation image are analyzed.Then with the advantage of neural network BP arithmetic in function approach,the corresponding measurement method is proposed.This method has already applied in engineering practice.The neural network of training results is combined with the measurement system,and a temperature measurement test on one FCB boiler is carried out,and satisfied results are achieved.
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