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