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Patent Searching and Data


Title:
PREDICTION METHOD, LEARNING METHOD, PREDICTION DEVICE, LEARNING DEVICE, PREDICTION PROGRAM, AND LEARNING PROGRAM
Document Type and Number:
WIPO Patent Application WO/2022/018789
Kind Code:
A1
Abstract:
A prediction method, according to the present invention, for predicting information pertaining to seismic waves at a desired location, said method comprising: an input step for inputting desired location information indicating a desired location; and a prediction step for predicting information pertaining to seismic waves at the desired location by using at least the desired location information, epicenter position information, and earthquake magnitude information, wherein, in the prediction step, geological information between the epicenter position and desired location is not used.

Inventors:
KUDO SHINOBU (JP)
TANIDA RYUICHI (JP)
KIMATA HIDEAKI (JP)
Application Number:
PCT/JP2020/028048
Publication Date:
January 27, 2022
Filing Date:
July 20, 2020
Export Citation:
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Assignee:
NIPPON TELEGRAPH & TELEPHONE (JP)
International Classes:
G01V1/00
Domestic Patent References:
WO2018008708A12018-01-11
Foreign References:
JPH06324160A1994-11-25
JP2006170739A2006-06-29
US5490062A1996-02-06
JP2014134501A2014-07-24
Other References:
IAN FLOOD , NICOLAS GAGARIN , NABIL KARTAM: "Modelling earthquake accelerograms using neural networks and linear predictors", AI EDAM - ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN, ANALYSIS AND MANUFACTURING, vol. 12, no. 3, 1 June 1998 (1998-06-01), GB , pages 243 - 258, XP009534424, ISSN: 0890-0604, DOI: 10.1017/S089006049812303X
OKADA AKIHISA; KANEDA YOSHIYUKI: "Neural Network Learning: Crustal State Estimation Method from Time-Series Data", 2018 INTERNATIONAL CONFERENCE ON CONTROL, ARTIFICIAL INTELLIGENCE, ROBOTICS & OPTIMIZATION (ICCAIRO), 19 May 2018 (2018-05-19), pages 141 - 146, XP033540044, DOI: 10.1109/ICCAIRO.2018.00031
Attorney, Agent or Firm:
SHIGA INTERNATIONAL PATENT OFFICE (JP)
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