| 摘要 |
<p><P>PROBLEM TO BE SOLVED: To provide a means for constructing a precise prediction expression even in a small number of observation data. <P>SOLUTION: The time series prediction expression correction method comprises a data input step wherein a data inputting means inputs an observation value after detecting a structure change; a step for creating data for correcting a prediction expression wherein a means for creating data for correcting the prediction expression creates a time series prediction value after detecting a structure change, uses an observation value after detecting a structure change inputted in the data input step, and creates data used for correcting the prediction expression; and a step wherein a means for creating the prediction expression reconstructs the prediction expression with the output data of the step for creating data for correcting the prediction expression as an input. As a result, a conventional problem can be solved that the number of observation data after alienation becomes small when the time-series prediction expression is corrected rapidly after the alienation and a precise prediction expression cannot be constructed in time-series prediction (1), and the number of observation data after alienation needs to be increased and much time is required for reconstructing the prediction expression for constructing a precise prediction expression (2). <P>COPYRIGHT: (C)2005,JPO&NCIPI</p> |
