[1] M. H. Fan and R. C. Brown, “Precision and accuracy of photo acoustic measurements of unburned carbon in fly ash [J],” Fuel, Vol. 80, No. 11, pp. 1545–1554, 2001.
[2] K. Styszko-Grochowiak, J. Golas, H. Jankowski, et al., “Characterization of the coal fly ash for the purpose of improvement of industrial on-line measurement of un- burned carbon content [J],” Fuel, Vol. 83, No. 13, pp. 1847–1853, 2004.
[3] A. K. Ouazzane, J. L. Castagner, A. R. Jones, et a1., “Design of an optical instrument to measure the carbon content of fly ash [J],” Fuel, Vol. 81, No. 15, pp. 1907–1911, 2002.
[4] H. Zhou, H. B. Zhu, T. H. Zeng, et a1., “Artificial neural network modelling on the unburned carbon in fly ash from utility boilers [J],” Proceedings of the CSEE, Vol. 22, No. 6, pp. 96–100, 2002. (in Chinese)
[5] X. T. Fang and N. Y. Ye, “A system forpredicting the anburned carbon of the fly ash from utility boilers based on BP artificial neural netwoks [J],” Jouunal of Huazhong Uruversity of Science & Technology, Nature Science Edition, Vol. 31, No. 12, pp. 75–77, 2003. (in Chinese)
[6] M. Sebastia,I. F. dez Olmo, and Angel Irabien, “Neural network prediction of unconfined compressive strength of coal fly ash cement mixtures [J],” Cement and Concrete Research, Vol. 33, No. 8, pp. 137–145, 2003.
[7] G. Y. Zhang and J. Zhang, “Fuzzy SVM-based multilevel binary tree classifier for fault diagnosis of hydroturbine speed regulating system [J],” Proceedings of the CSEE, Vol. 25, No. 8, pp. 100–104, 2005. (in Chinese)
[8] Y. C. Li, T. J. Fang, and E. K. Yu, “Study of support vector machines for short-term load predicting [J],” Proceedings of the CSEE, Vol. 23, No. 6, pp. 55–59, 2003. (in Chinese)
[9] Y. Wang, Z. H. Zhou, and A. Y. Zhou, “The apply of machine study [M],” The Publish House of Tsinghua University, Beijing, pp. 1–27, 2006.
[10] A. Smola and B. Scholkopf, “A tutorialon support vector regression [R],” Royal Holoway College, London,1998.
[11] V. N. Vapnik, “The nature of statistical learning theory [M],” Springer, New York, 1999.
[12] G. Z. Li, M. Wang, H. J. Zeng (translate), N. Cristianini, J. Shawe-Taylor (write), “Introduction of support vector [M],” The Publish House of Electric Industry, Beijing, 2004.
[13] X. G. Zhang (translate), Vapnik (write), “Theory of statistic study [M],” The Publish House of Electric Industry, Beijing, 2004.
[14] X. G. Zhang, “Introduction to statistical learning theory and support vector machines [J],” ACTA Automatica Sinica, Vol. 26, No. 1, pp. 32–43, 2000.
[15] X. D. Wang and J. Q. Wang, “A survey on support vector machine traing and testing algorithms [J],” Computer Engineering and Applications, Vol. 40, No. 13, pp. 75–78, 2000.
[16] S. S. Keerthi and C. J. Lin, “A symptotic behaviors of support v machines with Gaussian kernel [J],” Neural Computation, pp. 1667–1689, 2003.
[17] C. L. Wang and H. Zhou, et a1., “Support vector machine modeling on the unburned carbon in fly ash [J],” Proceedings of the CSEE, Vol. 20, No. 25, pp. 72–76, 2005. (in Chinese)