IMPROVEMENT OF TYPHOON TRACK CLASSIFICATION METHODOLOGY USING SELF-ORGANIZING MAPS AND ASSESSMENT OF FUTURE TYPHOON CHANGES AROUND JAPAN

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Publication Details

Journal
Japanese Journal of JSCE
Published
2025-01-01
DOI
https://doi.org/10.2208/jscejj.25-18115
Primary Topic
Hydrological Forecasting Using AI
Type
article
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article

IMPROVEMENT OF TYPHOON TRACK CLASSIFICATION METHODOLOGY USING SELF-ORGANIZING MAPS AND ASSESSMENT OF FUTURE TYPHOON CHANGES AROUND JAPAN

Mitsuyoshi KODAMA, Koji NISHIYAMA, Shinji Kawano, Masaru YAMASHIRO et al.
Japanese Journal of JSCE
Hydrological Forecasting Using AI
article

IMPROVEMENT OF TYPHOON TRACK CLASSIFICATION METHODOLOGY USING SELF-ORGANIZING MAPS AND ASSESSMENT OF FUTURE TYPHOON CHANGES AROUND JAPAN

Mitsuyoshi KODAMA, Koji NISHIYAMA, Shinji Kawano, Masaru YAMASHIRO, Yoshihiko Ide, Ryutaro ARIYOSHI
article en

Abstract

No abstract available for this paper.
Japanese Journal of JSCEVol. 81(18)
Openalex Percentile: Top 71%
Hydrological Forecasting Using AI
DOISourceOpenAlex
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IMPROVEMENT OF TYPHOON TRACK CLASSIFICATION METHODOLOGY USING SELF-ORGANIZING MAPS AND ASSESSMENT OF FUTURE TYPHOON CHANGES AROUND JAPAN — Mitsuyoshi KODAMA, Koji NISHIYAMA, et al. · Japanese Journal of JSCE (2025) | TGRS Research Map | TGRS