Performance Evaluation of RBF Networks with Various Variables to Forecast the Properties of SCCs

In the present study, Radial Basis Function (RBF) neural networks are applied to forecast the compressive strength and elastic modulus of Self-Compacting Concrete (SCC). To construct the models, different experimental specimens of diverse kinds of SCC are gathered from the literature. The data used...

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Bibliographic Details
Main Authors: Atefeh Gholamzadeh Chitgar, Javad Berenjian
Format: Article
Language:English
Published: University of Tehran Press 2021-06-01
Series:Civil Engineering Infrastructures Journal
Subjects:
Online Access:https://ceij.ut.ac.ir/article_79229_33d0d38756b48e60aeaaa6af8573c827.pdf