Developing new Adaptive Neuro-Fuzzy Inference System models to predict granular soil groutability

Developing new Adaptive Neuro-Fuzzy Inference System models to predict granular soil groutability

Three Neuro-Fuzzy Inference Systems (ANFIS) including Grid Partitioning (GP), Subtractive Clustering (SCM) and Fuzzy C-means clustering Methods (FCM) have been used to predict the groutability of granular soil samples with cement-based grouts. Laboratory data from related available in litterature wa...

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Bibliographic Details
Main Authors: Mostafa Asadizadeh, abbas Majdi
Format: Article
Language:English
Published: University of Tehran 2019-08-01
Series:International Journal of Mining and Geo-Engineering
Subjects:
groutability
anfis
clustering algorithm
granular soil
Online Access:https://ijmge.ut.ac.ir/article_71416_1c99496a964758af98a46dff29c442ac.pdf

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