Title:
PREDICTION SYSTEM, MODEL GENERATION SYSTEM, METHOD, AND PROGRAM
Document Type and Number:
WIPO Patent Application WO/2019/187372
Kind Code:
A1
Abstract:
A model generation device 60 of the present invention is provided with: a regularization parameter candidate setting means 61 which outputs a regularization parameter search set for which a plurality of solution candidates are set, the solution candidates having a plurality of mutually different values of at least a regularization parameter that affects the term of a strong regularization variable that is one or a plurality of variables specifically determined among explanatory variables; a model learning means which learns a prediction model corresponding to each of the plurality of solution candidates; an accuracy evaluation means 62 which evaluates prediction accuracy of each prediction model that has been learned; a transition evaluation means 63 which, with respect to each prediction model that has been learned, evaluates a defective sample number that is the number of samples in which graph shape or the transition is not valid; and a model determination means 64 which, on the basis of the result of evaluation concerning prediction accuracy and the result of evaluation concerning graph shape or the defective sample number, determines a prediction model to be used for progress prediction.
Inventors:
TANIGUCHI ATSUSHI (JP)
TAMANO HIROSHI (JP)
TAMANO HIROSHI (JP)
Application Number:
PCT/JP2018/045610
Publication Date:
October 03, 2019
Filing Date:
December 12, 2018
Export Citation:
Assignee:
NEC SOLUTION INNOVATORS LTD (JP)
International Classes:
G16H50/50
Domestic Patent References:
WO2017098631A1 | 2017-06-15 |
Foreign References:
JP2018010475A | 2018-01-18 | |||
JP2016146046A | 2016-08-12 | |||
JP2012064087A | 2012-03-29 | |||
JP2014225175A | 2014-12-04 | |||
JP2018068278A | 2018-05-10 |
Other References:
See also references of EP 3780003A4
Attorney, Agent or Firm:
IWAKABE Fuyuki et al. (JP)
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