Study on Prediction of Bearing Capacity of Compound Foundation with Support Vector Machine
Saved in:
Main Authors: | ZHANG Wenjie, MA Wangbin |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Office of Pearl River
2010-01-01
|
Series: | Renmin Zhujiang |
Online Access: | http://www.renminzhujiang.cn/thesisDetails?columnId=47658811&Fpath=home&index=0 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Machine learning models for predicting the bearing capacity of shallow foundations: A Comparative study and sensitivity analysis
by: Hamid Mohammadnezhad, et al.
Published: (2024-12-01) -
Prediction of Soil Moisture-Holding Capacity with Support Vector Machines in Dry Subhumid Tropics
by: Jacob Kaingo, et al.
Published: (2018-01-01) -
SUPPORT VECTOR MACHINE FOR HYDRAULIC SUPPORT RELIABILITY PREDICTION
by: DING Fei, et al.
Published: (2017-01-01) -
Oil well productivity capacity prediction based on support vector machine optimized by improved whale algorithm
by: Kuiqian Ma, et al.
Published: (2024-10-01) -
Calculation Method for Bearing Capacity of Bottom-Supported Anti-Pull Piles in Layered Foundation
by: Jianming Zeng, et al.
Published: (2024-01-01)