Estimation of unconfined compression strength considering its variation in the shallow ground in Osaka city by Deep Learning

Komiyama Ryusei

Presentation information

ディスカッションセッション

DS-8 データサイエンスから探る地盤工学

Tue. Jul 11, 2023 9:00 AM - 12:15 PM 第1会場（Hybrid） (3F メインホール)

座長：藤澤和謙（京都大学大学院農学研究科）
副座長：内藤直人（豊橋技術科学大学）

[DS-8-08] Estimation of unconfined compression strength considering its variation in the shallow ground in Osaka city by Deep Learning

*Komiyama Ryusei¹, Kazuhiro ODA¹, Yoshiya Shirota¹, Shoko YAMAMOTO², Masahiro Kondoh², Tohru Inui³ (1. Osaka Sangyo University, 2. WEST JAPAN CONSULTANTS COMPANY, 3. Osaka University)

Keywords:unconfined compression strength, Artificial inteligence, Hollocene

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