Utilizing the Novel Developed MLP Techniques to Survey Pile Subsidence via Optimization Algorithms
The Pile settlement (PS) is one of the most essential issues in designing piles and its foundation type applied in real state. Over the variants in designing the pile penetrated in rock, the vertical settlement is of paramount importance to know. However, rigorous theoretical descriptions for soil-p...
Saved in:
Main Authors: | Augustinus Sieck, Graciela Daniels |
---|---|
Format: | Article |
Language: | English |
Published: |
Bilijipub publisher
2022-10-01
|
Series: | Advances in Engineering and Intelligence Systems |
Subjects: | |
Online Access: | https://aeis.bilijipub.com/article_158270_3781b465302699953e36f47eef3f2ed2.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Appraising the Pile Settlement Rates by Support Vector Regression Optimized Using the Novel Optimization Algorithms
by: Argyros Maris
Published: (2023-06-01) -
Investigating the Two Optimization Algorithms (GWO and ACO) Coupling with Radial Basis Neural Network to Estimate the Pile Settlement
by: Ehsanolah Assareh, et al.
Published: (2023-03-01) -
Novel Hybrid Radial-Based Neural Network Model for Predicting the Compressive Strength of Long-Term HPC Concrete
by: Hanlie Cheng, et al.
Published: (2022-07-01) -
Optimizing Pile Bearing Capacity Prediction Using Specific Random Forest Models Optimized by Meta-Heuristic Algorithms for Enhanced Geomechanically Applications
by: Nengyuan Chen
Published: (2023-12-01) -
Estimating the Pile Settlement Using a Machine Learning Technique Optimized by Henry's Gas Solubility Optimization and Particle Swarm Optimization
by: Saravana Kumar, et al.
Published: (2022-12-01)