Prediction and Analysis of Slope Stability Based on IPSO-SVM Machine Learning Model
In the evaluation and prediction of slope stability, the traditional numerical analysis method, which is over reliant on experience, takes a large amount of computing time and lacks the ability to reflect the fuzzy and nonlinear characteristics of slope parameters well. Considering the above charact...
Saved in:
Main Authors: | Yu Wang, Erxia Du, Sanqiang Yang, Li Yu |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
|
Series: | Geofluids |
Online Access: | http://dx.doi.org/10.1155/2022/8529026 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Machine Learning Applications based on SVM Classification A Review
by: Dakhaz Mustafa Abdullah, et al.
Published: (2021-04-01) -
Assessment model of ozone pollution based on SHAP-IPSO-CNN and its application
by: Xiaolei Zhou, et al.
Published: (2025-01-01) -
Frequency Diverse Array Target Localization Based on IPSO-BP
by: Qinghua Liu, et al.
Published: (2020-01-01) -
Research on the evaluation method of cooperative jamming effectiveness based on IPSO-ELM
by: A. Tianjian Yang, et al.
Published: (2025-01-01) -
Prediction of COD Degradation in Fenton Oxidation Treatment of Kitchen Anaerobic Wastewater Based on IPSO-BP Neural Network
by: Tianpeng Zhang, et al.
Published: (2025-01-01)