Prediction and modeling of mechanical properties in fiber reinforced self-compacting concrete using particle swarm optimization algorithm and artificial neural network: Fid-Bau Portal

Prediction and modeling of mechanical properties in fiber reinforced self-compacting concrete using particle swarm optimization algorithm and artificial neural network

Mashhadban, Hadi

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Prediction and modeling of mechanical properties in fiber reinforced self-compacting concrete using particle swarm optimization algorithm and artificial neural network

Mashhadban, Hadi

Prediction and modeling of mechanical properties in fiber reinforced self-compacting concrete using particle swarm optimization algorithm and artificial neural network

Mashhadban, Hadi

Access

Access via TIB

Check availability in my library

Order at Subito €

Page navigation

Document information

Similar titles

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Document information

Title:

Prediction and modeling of mechanical properties in fiber reinforced self-compacting concrete using particle swarm optimization algorithm and artificial neural network

Contributors:

Mashhadban, Hadi (author) / Kutanaei, Saman Soleimani / Sayarinejad, Mohammad Ali

Published in:

Construction & building materials ; 119

Publication date:

2016

ISSN:

0950-0618

DOI:

https://doi.org/10.1016/j.conbuildmat.2016.05.034

Type of media:

Article (Journal)

Type of material:

Language:

English

Keywords:

Baukonstruktion , Baustoff

Classification:

BKL: 56.45 Baustoffkunde / 56.45

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