Chinese Optics Letters, 2003, 1 (2): 0278, Published Online: Jun. 6, 2006
3-D flame temperature field reconstruction with multiobjective neural network 
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110.6960 tomography 100.3010 image reconstruction techniques 120.6780 temperature 200.4260 neural networks 300.6170 spectra
Abstract
A novel 3-D temperature field reconstruction method is proposed in this paper, which is based on multiwavelength thermometry and Hopfield neural network computed tomography. A mathematical model of multi-wavelength thermometry is founded, and a neural network algorithm based on multiobjective optimization is developed. Through computer simulation and comparison with the algebraic reconstruction technique (ART) and the filter back-projection algorithm (FBP), the reconstruction result of the new method is discussed in detail. The study shows that the new method always gives the best reconstruction results. At last, temperature distribution of a section of four peaks candle flame is reconstructed with this novel method.
Xiong Wan, Yiqing Gao, Yuanmei Wang. 3-D flame temperature field reconstruction with multiobjective neural network[J]. Chinese Optics Letters, 2003, 1(2): 0278.
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