Estimation of the Ultimate Bearing Capacity of the Rocks via Utilization of the AI-Based Frameworks
Precise anticipation of the ultimate bearing capacity (Qu)for rock-socketed piles is an important task in civil engineering, construction, and the design of foundations. The approach adopted here is new and solves the problem using KNN combined with two modern nature-inspired optimization frameworks...
Saved in:
Main Authors: | Bianca Damico, Matteo Conti |
---|---|
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_212431_2b56b323441bbd2ba8049e1c555a1598.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The Diagnosis of Diabetes Using a Hybrid Algorithm Consisting of the Flower Pollination Algorithm and an Ensemble of a Subset of K-NN Classifiers
by: Zeinab Hassani, et al.
Published: (2022-03-01) -
Research on Ultimate Bearing Capacity of Angular Contact Ball Bearings Considering Misalignment Angles
by: Wang Huijie, et al.
Published: (2023-09-01) -
Estimation of Ultimate Bearing Capacity in Rock-Socketed Piles Using Optimized Machine Learning Approaches
by: Ali Hassan, et al.
Published: (2023-12-01) -
Multi-resource constrained elective surgical scheduling with Nash equilibrium toward smart hospitals
by: Jun Xue, et al.
Published: (2025-01-01) -
Fault Diagnosis of Roller Bearing based on Hybrid Feature Set and Weighted KNN
by: Chen Fafa, et al.
Published: (2016-01-01)