Jurnal Mantik
Vol. 6 No. 4 (2023): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)

MLP neural network in google colaboratory to predict mechanical properties of manufactured-sand concrete

Munzir Absa (Malikussaleh University, Indonesia)
Tulus Setiawan (Malikussaleh University, Indonesia)
Islami Fatwa (Malikussaleh University, Indonesia)
Amam Taufiq Hidayat (Malikussaleh University, Indonesia)

Article Info

Publish Date
28 Feb 2023

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.

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Journal Info
Jurnal Mantik
Website

Abbrev

mantik

Publisher

Institute Of Computer Science

Subject

Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media

Description

Jurnal Mantik (Manajemen, Teknologi Informatika dan Komunikasi) is a scientific journal in information systems/informati containing the scientific literature on studies of pure and applied research in information systems/information technology,Comptuer Science and management science and public ...