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Tensile strength of basalt from a neural network

机译:来自神经网络的玄武岩抗张强度

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摘要

In this paper, a new neural network (NN) based formula is proposed for the determination of tensile strength of basalt in terms of ultrasonic pulse velocity, dry density and water absorption parameters. The data used in training and testing NN are obtained from an extensive experimental work carried out on 86 samples that were cored from basalt blocks collected from the southeast of Turkey. The NN-based results were compared with the experimental results and the proposed NN-based formula was found to be practical in predicting the tensile strength of basalt.
机译:本文提出了一种新的基于神经网络(NN)的公式,用于根据超声脉冲速度,干密度和吸水率参数确定玄武岩的拉伸强度。用于NN训练和测试的数据来自对86个样品进行的广泛实验工作,这些样品取自土耳其东南部的玄武岩块。将基于NN的结果与实验结果进行了比较,发现所提出的基于NN的公式对于预测玄武岩的抗张强度是实用的。

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