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基于統計空間映射的自學習模式識別方法

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

    摘要
  • 摘要: 針對生產工況實測數據不能覆蓋整個數據空間的現象,提出了一種基于統計空間映射的自學習模式識別方法.通過實測數據的仿真實驗驗證了該方法的有效性.

     

    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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