| 基于LS-SVM的电炉钢水温度预测 |
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| 引用本文： | 韩颖.基于LS-SVM的电炉钢水温度预测[J].沈阳大学学报,2008,20(2):36-38. |
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| 作者姓名： | 韩颖 |
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| 作者单位： | 沈阳工业大学,电气工程学院,辽宁,沈阳,110023 |
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| 摘 要： | 通过对LS-SVM的参数进行优选，使所建模型具有较强的拟合和预测能力．针对某厂实际生产数据，运用LS-SVM建立钢水温度预测模型，拟合和预测结果良好，表明该模型对实际生产具有指导意义．
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| 关 键 词： | 钢水温度 最小二乘向量机 预测模型 |
| 文章编号： | 1008-9225(2008)02-0036-03 |
| 修稿时间： | 2007年11月11 |
Temperature Forecasting of Melting Iron in Electric Arc Furnace Based on LS-SVM |
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| HAN Ying.Temperature Forecasting of Melting Iron in Electric Arc Furnace Based on LS-SVM[J].Journal of Shenyang University,2008,20(2):36-38. |
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| Authors: | HAN Ying |
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| Institution: | HAN Ying (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110023, China) |
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| Abstract: | The parameters of the LS-SVM are optimized and the simulation results indicate that the model has good efficiency. According to the data getting from the factory, the temperature forecasting model of the melting iron in electric arc furnace based on LS-SVM is established and the results indicate that the model can direct the practical production in factory. |
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| Keywords: | temperature of melting iron L S-SVM forecasting model |
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