
BACK PROPAGATION ARTIFICIAL NEURAL NETWORK MODELING OF FLEXURAL AND COMPRESSIVE STRENGTH OF CONCRETE REINFORCED WITH POLYPROPYLENE FIBERS
Author(s) -
Stephen John C
Publication year - 2019
Publication title -
international journal of geomate
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 17
eISSN - 2186-2990
pISSN - 2186-2982
DOI - 10.21660/2019.57.8330
Subject(s) - flexural strength , compressive strength , materials science , polypropylene , composite material , artificial neural network , structural engineering , computer science , engineering , artificial intelligence