VISUAL MATERIAL SEGREGATION JUDGMENT PREDICTION OF HIGH-FLUID CONCRETE BY USING MACHINE LEARNING

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  • HIGA Ryuichi
    UNIVERSITY OF The RYUKYUS, Grad. School of Eng. and Sci.（1, Sembaru, Nishihara-cho, Nakagami-gun, Okinawa 903-0213, Japan）
  • YAMADA Yoshitomo
    UNIVERSITY OF The RYUKYUS, Faculty of Eng.（1, Sembaru, Nishihara-cho, Nakagami-gun, Okinawa 903-0213, Japan）
  • SHIMIZU Kanta
    FLOWRIC, Concrete Lab.（33-1, Kaname, Tsukuba-shi, Ibaraki 300-2622, Japan）
  • SAKIHARA Kohei
    UNIVERSITY OF The RYUKYUS, Faculty of Eng.（1, Sembaru, Nishihara-cho, Nakagami-gun, Okinawa 903-0213, Japan）

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Other Title
  • 機械学習による高流動コンクリートの目視材料分離判定の試み

Abstract

<p>In this study, we attempted to use Machine Learning to predict the visual judgment of material segregation of High-fluid concrete using the materials and concrete formulation as features. Random Forest and LightGBM, a type of ensemble learning, were used to obtain feature importance. Furthermore, Logistic Regression, a type of statistics and Machine Learning, was performed using these features of high importance in Machine Learning. Using Logistic Regression, we proposed a prediction formular for visual material segregation judgment and the prediction performance of the proposed prediction formula was evaluated.</p>

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