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| 支持向量机在粉煤灰分类中的应用 | |
| 引用本文： | 陈祖云,杨胜强,邬长福.支持向量机在粉煤灰分类中的应用[J].洁净煤技术,2009,15(3):107-110. |
| 作者姓名： | 陈祖云 杨胜强 邬长福 |
| 作者单位： | 1. 江西理工大学,资源与环境工程学院,江西,赣州,341000;中国矿业大学,安全工程学院,江苏,徐州,221008 2. 中国矿业大学,安全工程学院,江苏,徐州,221008 3. 江西理工大学,资源与环境工程学院,江西,赣州,341000 |
| 基金项目： | 江西省教育厅资助项目，江西省安全生产监督管理局资助项目 |
| 摘 要： | 针对以往粉煤灰分类的片面性，选择粉煤灰有关的化学成分和物理性质为特征向量，提出了基于支持向量机的粉煤灰科学分类。结果表明，此方法不仅结构简单，而且技术性能尤其是泛化能力与神经网络相比有明显提高，较全面地反映了粉煤灰的活性，从而为粉煤灰的综合利用及优化配置奠定了基础。 |
| 关 键 词： | 粉煤灰 支持向量机 分类 |
Application of support vector machine in classification of fly ash |
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| CHEN Zu-yun,YANG Sheng-qiang,WU Chang-fu.Application of support vector machine in classification of fly ash[J].Clean Coal Technology,2009,15(3):107-110. | |
| Authors: | CHEN Zu-yun YANG Sheng-qiang WU Chang-fu |
| Affiliation: | CHEN Zu-yun, YANG Sheng-qiang, WU Chang-fu ( 1. School of Environmental and Architectural Engineering, Jiangxi University of Science and Technology , Nanchang 341000,China; 2. School of Safety Science ＆Engineering, China University of Mining and Technology, Xuzhou 221008, China) |
| Abstract: | For the one-sidedness of classification of fly ash in the past, the chemical composition and physical prop- erties related to the quality of fly ash are choiced as the feature vectors. Then, classification of fly ash is proposed based on support vector machine at this paper. The result shows that the SVM method is not only simple in struc- ture, but also has markedly improved in technical performance and generalization ability, especially compared with the neural network. It reflects more comprehensive the activity of fly ash, and lays a foundation for the utilization of fly ash so as to optimize the distribution. |
| Keywords: | fly ash support vector machine classification |
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