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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Bibliographic Details

Published in:	Journal of Soft Computing in Civil Engineering
Main Authors:	Mehdi Hashemi Jokar, Ali Heidaripanah
Format:	Article
Language:	English
Published:	Pouyan Press 2024-10-01
Subjects:	expansive soils swelling subtractive clustering fuzzy c-mean clustering (fcm) sensitivity analysis
Online Access:	https://www.jsoftcivil.com/article_196441_883cb928ea9ae1492825882d286ff2fe.pdf