Application of bagging ensemble model for predicting compressive strength of hollow concrete masonry prism
In the current research, a newly developed ensemble intelligent predictive model called Bagging Regression (BGR) is proposed to predict the compressive strength of a hollow concrete masonry prism (fp). A matrix of input combinations is constructed based on several predictive variables, including mor...
Saved in:
Main Authors: | Ahmad Sharafati, Seyed Babak Haji Seyed Asadollah, Nadhir Al-Ansari |
---|---|
Format: | article |
Language: | EN |
Published: |
Elsevier
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/64843f78f4834b028aad1ee593b10856 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Modelo Analítico del Comportamiento a Compresión de Bloques Huecos de Concreto
by: García Giraldo,John Mario, et al.
Published: (2013) -
Compression behaviour of clay bricks prisms, wallets and walls - Coating influence
by: Azevedo,António, et al.
Published: (2019) -
Mechanical properties of load bearing walls made of uruguayan hollow ceramic bricks
by: Fontana Cabezas,Juan José
Published: (2015) -
Splitting test experimental dataset of hollow concrete blocks
by: José Álvarez-Pérez, et al.
Published: (2021) -
Influence of the bed joint thickness on the bearing capacity of the brick masonry under compression loading: an ultrasound assessment
by: Monteagudo,Silvia M, et al.
Published: (2015)