基于统计空间映射的自学习模式识别方法

徐正光; 瞿寿德; 于连荣

doi:10.13374/j.issn1001-053x.2003.05.050

徐正光, 瞿寿德, 于连荣. 基于统计空间映射的自学习模式识别方法[J]. 工程科学学报, 2003, 25(5): 480-482. DOI: 10.13374/j.issn1001-053x.2003.05.050

引用本文:

徐正光, 瞿寿德, 于连荣. 基于统计空间映射的自学习模式识别方法[J]. 工程科学学报, 2003, 25(5): 480-482. DOI: 10.13374/j.issn1001-053x.2003.05.050

XU Zhengguang, QU Shoude, YU Lianrong. Self-Learning Pattern Recognition Method Base on the Statistical Space Mapping[J]. Chinese Journal of Engineering, 2003, 25(5): 480-482. DOI: 10.13374/j.issn1001-053x.2003.05.050

Citation:

XU Zhengguang, QU Shoude, YU Lianrong. Self-Learning Pattern Recognition Method Base on the Statistical Space Mapping[J]. Chinese Journal of Engineering, 2003, 25(5): 480-482. DOI: 10.13374/j.issn1001-053x.2003.05.050

基于统计空间映射的自学习模式识别方法

Self-Learning Pattern Recognition Method Base on the Statistical Space Mapping

摘要

摘要: 针对生产工况实测数据不能覆盖整个数据空间的现象,提出了一种基于统计空间映射的自学习模式识别方法.通过实测数据的仿真实验验证了该方法的有效性.

Abstract: Base on the statistical space mapping a self-learning method was proposed, which can overcome the shortcoming that the measured work-state data can not cover all the data space. Simulating experiment at results for the measured work-state data show its availability.

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