Using Wavelet Network in Estimating the BOF Temperature

Yong Qing Wang; Yan Ru Chen; Fei Nan Chen; Jing Jing Chen

doi:10.4028/www.scientific.net/AMR.429.88

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 429Using Wavelet Network in Estimating the BOF...

Using Wavelet Network in Estimating the BOF Temperature

Abstract:

Temperature of the BOF flame is an important evident in the steel making process. A kind of wavelet neural network (SWNN) is constructed to get the mapping relation between the flame true temperature and radiation which can be effectively separated from emission information. The temperature predicted by the summation wavelet neural network is inosculated to the temperature measured by sub-lance comparatively.

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Periodical:

Advanced Materials Research (Volume 429)

Pages:

88-91

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.429.88

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Online since:

January 2012

Authors:

Yong Qing Wang, Yan Ru Chen, Fei Nan Chen, Jing Jing Chen

Keywords:

Multi-Spectrum, Spectrum, SWNN, Wavelet, WNN

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