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ANFIS Models with Subtractive Clustering and Fuzzy C-Mean Clustering Techniques for Predicting Swelling Percentage of Expansive Soils

Civil engineering faces significant challenges from expansive soils, which can lead to structural damage. This study aims to optimize subtractive clustering and Fuzzy C-Mean Clustering (FCM) models for the most accurate prediction of swelling percentage in expansive soils. Two ANFIS models were deve...

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Principais autores: Mehdi Hashemi Jokar, Ali Heidaripanah
Formato: Artigo
Idioma:Inglês
Publicado em: Pouyan Press 2024-10-01
coleção:Journal of Soft Computing in Civil Engineering
Assuntos:
expansive soils
swelling
subtractive clustering
fuzzy c-mean clustering (fcm)
sensitivity analysis
Acesso em linha:https://www.jsoftcivil.com/article_196441_883cb928ea9ae1492825882d286ff2fe.pdf
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