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Predictive models for mechanical properties of expanded polystyrene (EPS) geofoam using regression analysis and artificial neural networks

Published Online: 2022-03-13

Published Print: 2022-07

Authors

Akis, E. https://orcid.org/0000-0001-8417-2405
Guven, G. https://orcid.org/0000-0002-7409-1545
Lotfisadigh, B. https://orcid.org/0000-0002-3027-3734
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Text and Data Mining valid from 2022-03-13

Version of Record valid from 2022-03-13
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Article History

Received: 17 July 2021

Accepted: 30 January 2022

First Online: 13 March 2022

Declarations

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: Not applicable.

: Hereby, we as the authors of the article “Predictive Models for Mechanical Properties of Expanded Polystyrene (EPS) Geofoam Using Regression Analysis and Artificial Neural Networks” declare our consent to participate in this research on our free will.

: Hereby, we as the authors of the article “Predictive Models for Mechanical Properties of Expanded Polystyrene (EPS) Geofoam Using Regression Analysis and Artificial Neural Networks” declare our consent to publish this paper in the Journal of Neural Computing and Applications.

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