Soft Computing Based Prediction of Unconfined Compressive Strength of Fly Ash Stabilised Organic Clay
The current study uses machine learning techniques such as Random Forest Regression (RFR), Artificial Neural Networks (ANN), Support Vector Machines Ploy kernel (SVMP), Support Vector Machines Radial Basis Function Kernel (SVMRBK), and M5P model tree (M5P) to estimate unconfined compressive strength...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Pouyan Press
2022-10-01
|
Series: | Journal of Soft Computing in Civil Engineering |
Subjects: | |
Online Access: | http://www.jsoftcivil.com/article_158235_ac5ba3299fe4e2c30b6196e191edfe6b.pdf |