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PARAMETER ESTIMATING METHOD, DATA PREDICTING METHOD, PARAMETER ESTIMATING DEVICE, DATA PREDICTING DEVICE, COMPUTER PROGRAM AND RECORDING MEDIUM

机译:参数估计方法,数据预测方法,参数估计设备,数据预测设备,计算机程序和记录介质

摘要

PPROBLEM TO BE SOLVED: To provide a parameter estimating method and device for simplifying the convergence of the values of parameters, and for shortening a calculating time at the same time, and a computer program for realizing a computer as a parameter estimating device, and a recording medium. PSOLUTION: This data predicting device 1 accepts time series constituted of a plurality of data, and generates a white noise, and calculates a matrix and Y necessary for Gauss-Newton method by defining the auto-correlation function of the white noise of lug 0 as dispersion SSB0/SBSP2/SP, the auto-correlation function of the white noise of any lug other than 0 as 0, and the value of the inter-correlation function of the time series and the value of the white noise in the future of the time series as 0, and a matrix f(SP(h)/SP) and are calculated from a temporary value SP(h)/SPof the parameter when the time series are applied to an ARMA model, and the next temporary value SP(h+1)/SPis calculated by the Gauss-Newton method, and the parameter is decided by repeated calculation, and prediction data are calculated by using the parameter . PCOPYRIGHT: (C)2005,JPO&NCIPI
机译:

要解决的问题:提供一种用于简化参数值的收敛并同时缩短计算时间的参数估计方法和装置,以及用于将计算机实现为参数估计装置的计算机程序,以及记录介质。解决方案:该数据预测装置1接受由多个数据构成的时间序列,产生白噪声,并通过定义白噪声的自相关函数来计算高斯-牛顿法所需的矩阵和Y。凸耳0作为色散S 0 2 ,除0以外的任何凸耳的白噪声的自相关函数都为0,并且互相关函数的值时间序列和该时间序列的将来的白噪声值为0,以及矩阵f((h)),并根据临时值(h)<将时间序列应用于ARMA模型时的参数/ SP>,下一个临时值(h + 1)通过高斯-牛顿法计算,并通过重复确定计算,并使用参数计算预测数据。

版权:(C)2005,JPO&NCIPI

著录项

  • 公开/公告号JP2004287734A

    专利类型

  • 公开/公告日2004-10-14

    原文格式PDF

  • 申请/专利权人 JAPAN RESEARCH INSTITUTE LTD;

    申请/专利号JP20030077776

  • 发明设计人 TAKEYASU KAZUHIRO;

    申请日2003-03-20

  • 分类号G06F17/10;G06F17/16;G06F19/00;

  • 国家 JP

  • 入库时间 2022-08-21 23:36:09

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