Non-destructive assessment of the three-point-bending strength of mortar beams using radial basis function neural networks
Abstract
This paper presents a new method for assessing the three-point-bending (3PB) strength of mortar beams in a non-destructive manner, based on neural network (NN) models. The models are based on the radial basis function (RBF) architecture and the fuzzy means algorithm is employed for training, in order to boost the prediction accuracy. Data for training the models were collected based on a series of experiments, where the cement mortar beams were...
Paper Details
Title
Non-destructive assessment of the three-point-bending strength of mortar beams using radial basis function neural networks
Published Date
Dec 25, 2015
Journal
Volume
16
Issue
6
Pages
919 - 932
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