期刊文献+

火电厂烟气量在线软测量系统研究 被引量:2

Research of On-line Soft Sensor Measuring System on Flue Gas Flow of Power Station Boiler
在线阅读 下载PDF
导出
摘要 针对火电厂锅炉烟气流量的在线监测问题,提出了一种基于支持向量机的在线软测量方法,并对软硬件系统进行了设计。 As it is difficult to measure the flue gas flow of boiler in power stations, an on-line soft sensor method based on support vector machine is presented. The soft and hardware system is designed.
作者 徐春辉
出处 《科技广场》 2009年第5期215-216,共2页 Science Mosaic
关键词 烟气流量 软测量 支持向量机 Flue Gas Flow Soft Sensor Support Vector Machine
  • 相关文献

参考文献2

二级参考文献26

  • 1[1]Boser B E, Guyon I M, Vapnik V N. A training algorithm for optimal margin classifiers[A]. The 5th Annual ACM Workshop on COLT [C]. Pittsburgh:ACM Press, 1992. 144-152.
  • 2[2]Cortes C, Vapnik V N. Support vector networks[J].Machine Learning, 1995, 20(3): 273-297.
  • 3[3]Drucker H, Burges C J C, Kaufman L, et al. Support vector regression machines [A]. Advances in Neural Information Processing Systems[C]. Cambridge: MIT Press, 1997. 155-161.
  • 4[4]Vapnik V N, Golowich S, Smola A. Support vector method for function approximation, regression estimation and signal processing [A]. Advances in Neural Information Processing Systems [ C ].Cambridge: MIT Press, 1997. 281-287.
  • 5[5]Vapnik V N. The Nature of Statistical Learning Theory[M]. New York: Springer-Verlag, 1995.
  • 6[6]Vapnik V N. Statistical Learning Theory [M]. New York: Wiley, 1998.
  • 7[7]Vapnik V N. The Nature of Statistical Learning Theory [M]. 2nd edition. New York: SpringerVerlag, 1999.
  • 8[8]Platt J. Fast training of support vector machines using sequential minimal optimization [ A ]. Advances in Kernel Methods - Support Vector Learning [C].Cambridge: MIT Press, 1999. 185-208.
  • 9[9]Suykens J A K, Vandewalle J. Least squares support vector machines [J]. Neural Processing Letters, 1999, 9(3): 293-300.
  • 10[10]Scholkopf B, Smola A J, Williamson R C, et al. New support vector algorithms [J]. Neural Computation,2000, 12(5) :1207-1245.

共引文献2404

同被引文献3

引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部