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Application of an artificial neural network model for predicting unconfined compressive strength of expansive soils

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Bibliographic Details
Published in:Journal of Earth System Science
Format: Online Article RSS Article
Published: 2026
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container_title Journal of Earth System Science
description
discipline_display Earth Sciences
discipline_facet Earth Sciences
format Online Article
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genre Journal Article
id rss_article:96020
institution FRELIP
journal_source_facet Journal of Earth System Science
last_indexed 2026-06-26T03:35:30.499Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Application of an artificial neural network model for predicting unconfined compressive strength of expansive soils
Earth Sciences
General
Earth Sciences
sub_discipline_display General
sub_discipline_facet General
subject_display Earth Sciences
General
Earth Sciences
subject_facet Earth Sciences
General
Earth Sciences
title Application of an artificial neural network model for predicting unconfined compressive strength of expansive soils
title_alt Aplicación de un modelo de red neuronal artificial para predecir la resistencia a la compresión no confinada de suelos expansivos
Application d'un modèle de réseau de neurones artificiels pour prédire la résistance à la compression non confinée des sols expansifs
Aplicação de um modelo de rede neural artificial para prever resistência à compressão não confinada de solos expansivos
title_auth Application of an artificial neural network model for predicting unconfined compressive strength of expansive soils
title_es_txt Aplicación de un modelo de red neuronal artificial para predecir la resistencia a la compresión no confinada de suelos expansivos
title_fr_txt Application d'un modèle de réseau de neurones artificiels pour prédire la résistance à la compression non confinée des sols expansifs
title_full Application of an artificial neural network model for predicting unconfined compressive strength of expansive soils
title_fullStr Application of an artificial neural network model for predicting unconfined compressive strength of expansive soils
title_full_unstemmed Application of an artificial neural network model for predicting unconfined compressive strength of expansive soils
title_pt_txt Aplicação de um modelo de rede neural artificial para prever resistência à compressão não confinada de solos expansivos
title_short Application of an artificial neural network model for predicting unconfined compressive strength of expansive soils
title_sort application of an artificial neural network model for predicting unconfined compressive strength of expansive soils
topic Earth Sciences
General
Earth Sciences
url https://link.springer.com/article/10.1007/s12040-026-02849-6