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: 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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