BP Neural Network Fitting for Spectra of Blast Furnace Raceway


Article Preview

Three-layer BP neural network, particularly using Levenberg-Marquardt back-propagation with early stopping algorithm, is widely used in curve fitting, attributing to its fast speed and free from over-fitting. Hence, the trained network by Levenberg-Marquardt back-propagation was used for curve fitting of the radiation spectrum of blast furnace raceway. The results showed that Levenberg-Marquardt back-propagation with early stopping algorithm presented a better fitting ability. Additionally, the results of spectral fitting model showed that the blast furnace raceway had an effective radiation spectrum in the wavelength range from 420nm to 880nm, where the raceway could be considered as the gray body radiation.



Edited by:

Qi Luo




B. Yang et al., "BP Neural Network Fitting for Spectra of Blast Furnace Raceway", Applied Mechanics and Materials, Vols. 55-57, pp. 197-202, 2011

Online since:

May 2011




[1] Y. S. Shen, B. Y. Guo, A. B. Yu and P. Zulli: Fuel Vol. 88 (2009), p.255.

[2] S. S. Mondal: INT. J. THERM. SCI. Vol. 47 (2008), p.1442.

[3] S. S. Mondal, S. K. Som and S. K. Dash: INT. J. THERM. SCI. Vol. 45 (2006), p.190.

[4] Y. C. Guo, C. K. Chan and K. S. Lau: Fuel, Vol. 82 (2003), p.893.

[5] Wen L. Y., Bai C. G., Ouyang Q. and etc: J. IRON STEEL RES. INT. Vol. 13 (2006), p.18.

[6] Ouyang Q., Wen L. Y. and Bai C. G.: CHI. J. SCI. INSTRUM. Vol. 28 (2007), p.1588.

[7] Brisley P. M., Gang L., Yong Y.: IEEE T. INSTRUM. MEAS. Vol. 54 (2005), p.1417.

[8] V. G. Granin, I. R. Shelpakova: SPECTROCHIM ACTA B Vol. 56 (2001), p.351.

[9] Chen G., Wen Z. Y., Liang Y. Q. and etc.: SPECTROSC SPECT ANAL Vol. 25 (2005), p.346.

[10] M. H. Beale, M. T. Hagan and H. B. Demuth: Neural Network Toolbox 7, User's Guide (The Math Works, Natick, MA 2010).

[11] M. T. Hagan, H. B. Demuth and M. H. Beale: Neural Network Design (PWS Publishing, Boston, MA 1996).

[12] M. T. Hagan and M. Menhaj: IEEE Transactions on Neural Networks Vol. 5 (1994), p.989.

[13] C. de Boor: A Practical Guide to Splines (Springer-Verlag, New York 1978).

[14] Fritsch F. N. and R. E. Carlson: SIAM J. Numerical Analysis Vol. 17 (1980), p.238.

[15] Chatterjee S. and A. S. Hadi: Statistical Science Vol. 1 (1986), p.379.

[16] LI Min and SHENG Yi: SPECTROSC SPECT ANAL Vol. 28 (2008), p.2352.

[17] CAI Xiao-shu and LUO Wu-de: Power Engineering Vol. 20 (2000), p.955.