The Implementation of a Support Vector Regression Model Utilizing Meta-Heuristic Algorithms for Predicting Undrained Shear Strength
The undrained shear strength (USS) of soil is essential in diverse structural engineering applications, including the design of earth dams, rock fills, foundations, highways, railways, and slope stability analysis. Traditional empirical and theoretical methods for estimating USS based on field tests...
Saved in:
Main Authors: | Rami Al-Qasimi, Firas Al-Hajri |
---|---|
Format: | Article |
Language: | English |
Published: |
Bilijipub publisher
2024-12-01
|
Series: | Advances in Engineering and Intelligence Systems |
Subjects: | |
Online Access: | https://aeis.bilijipub.com/article_212430_b13d77df8994556c83dff1ec5969674e.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A novel TID + IDN controller tuned with coatis optimization algorithm under deregulated hybrid power system
by: Geetanjali Dei, et al.
Published: (2025-02-01) -
OPTIMIZATION OF TURNING PARAMETERS USING AN ALGORTIM BASED ON COMBINED LINEAR AND BINARY SEARCH METHODS
by: DAN GEORGE PRUTICA, et al.
Published: (2020-03-01) -
Capsule neural network and adapted golden search optimizer based forest fire and smoke detection
by: Luling Liu, et al.
Published: (2025-02-01) -
Multi scenario chaotic transient search optimization algorithm for global optimization technique
by: Ibrahim Mohamed Diaaeldin, et al.
Published: (2025-02-01) -
Exploration and comparison of the effectiveness of swarm intelligence algorithm in early identification of cardiovascular disease
by: Tiantian Bai, et al.
Published: (2025-02-01)