| 基于支持向量机的空气降尘预测 |
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| 引用本文： | 王平.基于支持向量机的空气降尘预测[J].科技情报开发与经济,2009,19(2). |
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| 作者姓名： | 王平 |
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| 作者单位： | 山西省警官高等专科学校,山西太原,030021 |
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| 摘 要： | 支持向量机(Support VectorMachine,SVM)是近年来受到广泛关注的一种学习机器.将支持向量机引入环境时序预测中,有效地求解了空气中降尘的预测问题.实验结果表明,支持向量机不仅具有较强的理论背景,而且具有更强的预测预报能力.
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| 关 键 词： | 支持向量机 支持向量回归 环境时序预测 |
Prediction of Air Dust-fall Based on Support Vector Machine |
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| WANG Ping.Prediction of Air Dust-fall Based on Support Vector Machine[J].Sci-Tech Information Development & Economy,2009,19(2). |
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| Authors: | WANG Ping |
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| Abstract: | Support vector machine(SVM)is a new learning method developed in recent years.Introducing SVM into the prediction of environmental time sequence can solve effectively the prediction of dust-fall in the air.The test results show that SVM possesses not only stronger theoretical background but also stronger predicting capability. |
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| Keywords: | SVM support vector regression environmental time sequence forecasting |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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