| 核函数方法及其模型选择 |
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| 引用本文： | 王华忠,俞金寿. 核函数方法及其模型选择[J]. 江南大学学报(自然科学版), 2006, 5(4): 500-504 |
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| 作者姓名： | 王华忠 俞金寿 |
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| 作者单位： | 华东理工大学,自动化研究所,上海,200237 |
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| 摘 要： | 核函数方法已成为近年来机器学习领域继人工神经网络方法之后又一个十分流行和有效的方法.阐述了核函数方法的基本原理、特点及实施步骤,介绍了几种主要的核函数方法,最后重点分析和讨论了核函数方法中参数选择和核函数构造等核函数方法研究中的热点问题,并对其未来研究作了展望.
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| 关 键 词： | 核函数方法 支持向量机 模型选择 核主元分析 |
| 文章编号： | 1671-7147（2006）04-0500-05 |
| 收稿时间： | 2006-02-13 |
| 修稿时间： | 2006-04-20 |
Study on the Kernel-Based Methods and Its Model Selection |
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| WANG Hua-zhong,YU Jin-shou. Study on the Kernel-Based Methods and Its Model Selection[J]. Journal of Southern Yangtze University:Natural Science Edition, 2006, 5(4): 500-504 |
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| Authors: | WANG Hua-zhong YU Jin-shou |
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| Affiliation: | Research Institute of Automation, East China University of Science and Technology, Shanghai 200237,China |
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| Abstract: | Kernebbased methods have become another very popular and important techniques after artificial neural networks in the field of machine learning. The principles characteristics and implementation of kernel-based methods are introduced and several important kernel-based methods are briefly described. Hot issues such as model selection, construction of kernels are discussed in detail and future research is proposed. |
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