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Model identification system, method of operation of the model identification program and model identification equipment

机译:模型识别系统,模型识别程序的操作方法和模型识别设备

摘要

PPROBLEM TO BE SOLVED: To specify model parameters while using a mathematical model that represents the characteristics of a model object, in such a way as to make effective use of a large amount of performance data to increase the predictive accuracy of the mathematical model. PSOLUTION: Among classification patterns that classify the performance data into two groups, the classification pattern that makes bigger the difference in statistical information about the predictive errors of the mathematical model between the two groups is determined (S3). A processing (S4) for identifying the mathematical model for each group with the determined classification pattern is repeated as the groups are subdivided until the predictive accuracy for the model meets preset requirements (S6, S8). Parameters when the preset requirements are met are set as parameters for the mathematical model of that group. Determination of the classification pattern proceeds by first selecting data items for use in grouping based on average values and standard deviations, and determining from among them the classification pattern that is to be employed according to information standards (S3). PCOPYRIGHT: (C)2005,JPO&NCIPI
机译:

要解决的问题:在使用表示模型对象特征的数学模型时指定模型参数,以便有效利用大量性能数据来提高数学的预测精度模型。

解决方案:在将性能数据分为两组的分类模式中,确定使两组之间数学模型的预测误差的统计信息差异更大的分类模式(S3)。随着对组进行细分,重复进行用于用确定的分类模式为每个组标识数学模型的处理(S4),直到模型的预测精度满足预设要求为止(S6,S8)。满足预设要求时的参数将设置为该组数学模型的参数。通过首先基于平均值和标准偏差选择用于分组的数据项,并从其中确定要根据信息标准使用的分类模式,来进行分类模式的确定(S3)。

版权:(C)2005,JPO&NCIPI

著录项

  • 公开/公告号JP4230890B2

    专利类型

  • 公开/公告日2009-02-25

    原文格式PDF

  • 申请/专利权人 株式会社神戸製鋼所;

    申请/专利号JP20030396019

  • 发明设计人 西野 都;西田 吉晴;渡邊 俊彦;

    申请日2003-11-26

  • 分类号G06Q50;G05B13/02;G06F17/18;G06F19;

  • 国家 JP

  • 入库时间 2022-08-21 19:37:22

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