Soft computing techniques for compressive strength prediction of concrete cylinders strengthened by CFRP composites

Soft computing techniques for compressive strength prediction of concrete cylinders strengthened by CFRP composites

This study presents the application of soft computing techniques, namely, as multiple regressions (MRs), neural networks (NNs), genetic programming (GP), and adaptive neuro-fuzzy inference system (ANFIS) for modeling of compressive strength of carbon fiber-reinforced polymer (CFRP) confined concrete...

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Bibliographic Details
Main Author: Jalal Mostafa
Format: Article
Language:English
Published: De Gruyter 2015-01-01
Series:Science and Engineering of Composite Materials
Subjects:
anfis
artificial neural network
cfrp composites
compressive strength
concrete
genetic programming
multiple regression
soft computing
Online Access:https://doi.org/10.1515/secm-2013-0240

Internet

https://doi.org/10.1515/secm-2013-0240

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