Prediction of Ultrasonic Parameters of Mortar by using Artificial Neural Networks Techniques | Zendy

Abdelilah Dariouchy | Zendy; Hicham Lotfi | Zendy

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Prediction of Ultrasonic Parameters of Mortar by using Artificial Neural Networks Techniques

Author(s) -

Abdelilah Dariouchy,

Hicham Lotfi

Publication year - 2017

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/ijca2017913547

Subject(s) - computer science , artificial neural network , mortar , ultrasonic sensor , artificial intelligence , machine learning , acoustics , materials science , composite material , physics

Two artificial neural networks (ANN) models are developed to predict the evolution of group velocity and peak to peak amplitude of an ultrasonic wave propagate in mortar, also we these models use it to know the acoustic impedance during hydration of mortar specimen. The useful data bases to train and to test the performances of the models are collected from the experiences done on the mortar dough.

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