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Compressive strength prediction for glass aggregates incorporated concrete, using neural network and reviews
Author(s) -
Cornelius Ngunjiri Ngandu
Publication year - 2022
Publication title -
iteckne innovación e investigación en ingeniería
Language(s) - English
Resource type - Journals
eISSN - 2339-3483
pISSN - 1692-1798
DOI - 10.15332/iteckne.v19i2.2769
Subject(s) - mean absolute percentage error , mean squared error , artificial neural network , compressive strength , generalization , aggregate (composite) , statistics , mean absolute error , approximation error , mathematics , variance (accounting) , computer science , environmental science , materials science , machine learning , composite material , mathematical analysis , accounting , business

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