@article{(Open Science Index):https://publications.waset.org/pdf/10728,
	  title     = {Single Spectrum End Point Predict of BOF with SVM},
	  author    = {Ling-fei Xu and  Qi Zhao and  Yan-ru Chen and  Mu-chun Zhou and  Meng Zhang and  Shi-xue Xu},
	  country	= {},
	  institution	= {},
	  abstract     = {SVM ( Support Vector Machine ) is a new method in the artificial neural network ( ANN ). In the steel making, how to use computer to predict the end point of BOF accuracy is a great problem. A lot of method and theory have been claimed, but most of the results is not satisfied. Now the hot topic in the BOF end point predicting is to use optical way the predict the end point in the BOF. And we found that there exist some regular in the characteristic curve of the flame from the mouse of pudding. And we can use SVM to predict end point of the BOF, just single spectrum intensity should be required as the input parameter. Moreover, its compatibility for the input space is better than the BP network.
},
	    journal   = {International Journal of Industrial and Manufacturing Engineering},
	  volume    = {4},
	  number    = {2},
	  year      = {2010},
	  pages     = {189 - 191},
	  ee        = {https://publications.waset.org/pdf/10728},
	  url   	= {https://publications.waset.org/vol/38},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 38, 2010},
	}