Using Wavelet Network in Estimating the BOF Temperature

Abstract:

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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.

Info:

Periodical:

Edited by:

Gary Yang

Pages:

88-91

DOI:

10.4028/www.scientific.net/AMR.429.88

Citation:

Y. Q. Wang et al., "Using Wavelet Network in Estimating the BOF Temperature", Advanced Materials Research, Vol. 429, pp. 88-91, 2012

Online since:

January 2012

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Price:

$35.00

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