K-fold Validation Neural Network Approach for Predicting the One-Day Compressive Strength of UHPC-Reference-Cited by-同舟云学术

K-fold Validation Neural Network Approach for Predicting the One-Day Compressive Strength of UHPC

Published:2021-05-10 Issue:1 Volume:10 Page:20200055
ISSN:2379-1357
Container-title:Advances in Civil Engineering Materials
language:en
Short-container-title:Adv. Civ. Eng. Matls.

Author:

Abellán-García Joaquín¹

Affiliation:

1. Department of Civil Engineering at the Polytechnic University of Madrid (UPM), Madrid, Spain; and Department of Civil Engineering at the Escuela Colombiana de Ingeniería Julio Garavito, Av. 45, 205-59, 111166, Bogotá, Colombia (Corresponding author), email: j.abellang@alumnos.upm.es, https://orcid.org/0000-0002-0353-322X

Publisher

ASTM International

Subject

Materials Chemistry,Metals and Alloys,Polymers and Plastics,Mechanics of Materials,Civil and Structural Engineering,Ceramics and Composites

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