Title:
DATA GENERATION METHOD AND DEVICE, AND DISCRIMINATOR GENERATION METHOD AND DEVICE
Document Type and Number:
WIPO Patent Application WO/2021/261202
Kind Code:
A1
Abstract:
An aspect of a data generation device according to the present invention simulatively generates data that is used to prepare, by machine learning, a discriminator for detecting a peak observed in a signal waveform, said data generation device comprising: parameter frequency information acquisition units (31, 32) which find, from a plurality of signal waveforms collected only for the field where the object of machine learning is to prepare the discriminator, frequency information pertaining to predetermined shape parameters that characterize the shape of those signal waveforms; and a simulative waveform generation unit which uses the frequency information pertaining to the shape parameters to generate a simulative signal waveform that may include noise and overlapping of a plurality of peaks, wherein the data generation device provides the simulative signal waveform as data for training or evaluation in machine learning. This makes it possible to simulatively generate highly accurate teaching data.
Inventors:
KANAZAWA SHINJI (JP)
MATSUDA FUMIO (JP)
MATSUDA FUMIO (JP)
Application Number:
PCT/JP2021/021184
Publication Date:
December 30, 2021
Filing Date:
June 03, 2021
Export Citation:
Assignee:
SHIMADZU CORP (JP)
UNIV OSAKA (JP)
UNIV OSAKA (JP)
International Classes:
G06N20/00; G01N30/86
Domestic Patent References:
| WO2020105566A1 | 2020-05-28 | |||
| WO2020045236A1 | 2020-03-05 |
Foreign References:
| JP2011058930A | 2011-03-24 | |||
| JP2019086475A | 2019-06-06 |
Other References:
KANAZAWA SHINJI; NODA AKIRA; ITO ARISA; HASHIMOTO KYOKO; KUNISAWA AKIHIRO; NAKANISHI TSUYOSHI; KAJIHARA SHIGEKI; MUKAI NORIO; IIDA: "Fake metabolomics chromatogram generation for facilitating deep learning of peak-picking neural networks", JOURNAL OF BIOSCIENCE AND BIOENGINEERING, ELSEVIER, AMSTERDAM, NL, vol. 131, no. 2, 10 October 2020 (2020-10-10), NL , pages 207 - 212, XP086476239, ISSN: 1389-1723, DOI: 10.1016/j.jbiosc.2020.09.013
Attorney, Agent or Firm:
KYOTO INTERNATIONAL PATENT LAW OFFICE (JP)
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