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    • 9. 发明专利
    • Method for processing time series data, program for processing time series data, and system for processing time series data
    • 处理时间序列数据的方法,处理时间序列数据的程序和处理时间序列数据的系统
    • JP2009175785A
    • 2009-08-06
    • JP2008010647
    • 2008-01-21
    • Mitsubishi Chemicals Corp三菱化学株式会社
    • YONEYAMA MITSURU
    • G06N7/08A61B5/0245
    • PROBLEM TO BE SOLVED: To accurately extract a non-linear structure included in time series data signals having irregular fluctuation with respect to a processing method of time series data, a processing program of time series data and a processing system of time series data. SOLUTION: A plurality of first featured points featuring the variation of time series data signals having irregular fluctuation are extracted from those time series data signals (A20), and second feature points are set in the neighborhood of the plurality of first feature points (A30). Also, the first state of fluctuation to be acquired from the first feature points and the second state of fluctuation to be acquired from the second feature points are analyzed (A40, A50). Furthermore, the template of a non-linear structure is set based on the first state of fluctuation (A60). The feature points related with either the first state or the second state having the non-linear structure closer to the template are selected (A70). COPYRIGHT: (C)2009,JPO&INPIT
    • 要解决的问题:为了准确地提取包括在时间序列数据的处理方法中的具有不规则波动的时间序列数据信号中的非线性结构,时间序列数据的处理程序和时间序列处理系统 数据。 解决方案:从这些时间序列数据信号(A20)中提取多个具有不规则波动的时间序列数据信号的变化的第一特征点,并且在多个第一特征点附近设置第二特征点 (A30)。 此外,分析从第一特征点获取的第一波动状态和从第二特征点获取的第二波动状态(A40,A50)。 此外,基于第一波动状态来设定非线性结构的模板(A60)。 选择与具有更接近模板的非线性结构的第一状态或第二状态相关的特征点(A70)。 版权所有(C)2009,JPO&INPIT