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    • 19. 发明专利
    • MUTUAL CAUSALITY ANALYSIS SYSTEM
    • JPH10222493A
    • 1998-08-21
    • JP3694797
    • 1997-02-06
    • KOKUSAI DENSHIN DENWA CO LTD
    • MATSUMOTO KAZUNORIHASHIMOTO KAZUO
    • G06F17/18G06N5/02
    • PROBLEM TO BE SOLVED: To efficiently filter a mutual causality that multiple parameters simultaneously occur by generating the group of the parameters fitted for the analysis of a multivariate self-recursion model analysis based on a correlation rule and verifying the reliability of the correlation rule by applying the multivariate self-recursion model. SOLUTION: The parameters are divided into the group of the parameters of not more than a prescribed number based on the correlation rule between the parameters extracted by a correlation rule generation means 11. An analysis means 13 analyzes the multivariate self-recursion model. A filtering means 14 verifies the reliability of the respective correlation rules by using a signal transmission route analysis method for the correlation rule between the parameters. A display means 15 displays the correlation rule between the parameters by using a form which is easily understood. Thus, the system where mutual causality that the multiple parameters simultaneously occur is efficiently detected is constructed.