Prediction of critical safety factor of slopes using multiple regression and neural network-Reference-Cited by-同舟云学术

Prediction of critical safety factor of slopes using multiple regression and neural network

Published:2018-04-10 Issue: Volume: Page:1-10
ISSN:2213-2880
Container-title:Journal of Geo-Engineering Sciences
language:
Short-container-title:JGS

Author:

Chakraborty Arunav¹,Goswami Diganta²

Affiliation:

1. Department of Civil Engineering, Tezpur University, Tezpur, Assam, India

2. Department of Civil Engineering, Assam Engineering College, Guwahati, Assam, India

Publisher

IOS Press

Subject

General Medicine

Reference23 articles.

1. A 3D slope stability analysis method assuming parallel lines of intersection and differential straining of block contacts;Chang;Can Geotech J,2002

2. A study of slope stability prediction using neural networks;Sakellariou;Geotechnical and Geological Engineering,2005

3. Prediction of slope failure at letlhakane mine with the geomos slope monitoring system;Kayesa;International Symposium on Stability of Rock Slopes in Open Pit Mining and Civil Engineering,2006

4. Modelling uncertainty in natural resource analysis using fuzzy sets and Monte Carlo simulation: Slope stability prediction;Davis;International Journal of Geographical Information Science,2010

5. A new approach for prediction of the stability of soil and rock slopes;Ahangar-Asr;Engineering Computations,2010

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Application of Machine Learning Techniques in Slope Failure Analysis;2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS);2022-11-04

2. Evaluation Circular Failure of Soil Slopes Using Classification and Predictive Gene Expression Programming Schemes;Frontiers in Built Environment;2022-04-01

3. Slope Stability Classification under Seismic Conditions Using Several Tree-Based Intelligent Techniques;Applied Sciences;2022-02-08

4. Stability Analysis of Plant-Root-Reinforced Shallow Slopes along Mountainous Road Corridors Based on Numerical Modeling;Geosciences;2019-12-30