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Journal : Jurnal Mantik

MLP neural network in google colaboratory to predict mechanical properties of manufactured-sand concrete Munzir Absa; Tulus Setiawan; Islami Fatwa; Amam Taufiq Hidayat
Jurnal Mantik Vol. 6 No. 4 (2023): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v6i4.3509

Abstract

The use of manufactured sand instead of natural sand in concrete can help preserve rivers or beaches where these natural sand is sourced from. The mechanical properties of these manufactured-sand concretes are comparable to those produced using natural sand. To predict and help optimize the mechanical properties of concrete made with manufactured sand, a model of ANN was developed using python 3.8 programming language in Google Colaboratory environtment. It was found that ANN model with LBFGS weight optimization algorithm and 50 hidden layer nodes has the best performance, with RMSE = 0.067081. The accuracy of prediction made with this model is calculated to be 90.58% by means of R-squared value and 95.37% by mean absolute error (MAE) value.