Stability Prediction of Highway Slope on Highly Plastic Clay Using Particle Swarm Optimization (PSO)-Based Neural Network-Reference-Cited by-同舟云学术

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Stability Prediction of Highway Slope on Highly Plastic Clay Using Particle Swarm Optimization (PSO)-Based Neural Network

Published:2024-02-22 Issue: Volume:3 Page:264-274
ISSN:
Container-title:Geo-Congress 2024
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Author:

Masoud Nobahar¹²³⁴⁵,Han Fei¹²³⁴⁵,Eslami Abolfazl¹²³⁴⁵,Khan Sadik¹²³⁴⁵,Amini Farshad¹²³⁴⁵

Affiliation:

1. Postdoctoral Research Associate, Geotechnical Engineering Research Laboratory, Louisiana Transportation Research Center, Louisiana State Univ..

2. Assistant Professor, Dept. of Civil and Environmental Engineering, Univ. of New Hampshire.

3. Visiting Professor, Dept. of Structural Engineering, Univ. of California San Diego.

4. Associate Professor, Dept. of Civil and Environmental Engineering, Jackson State Univ. Email:

5. Professor and Chair, Dept. of Civil and Environmental Engineering, Jackson State Univ. Email:

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784485347.027

Reference19 articles.

1. Effectiveness of PSO Based Neural Network for Seasonal Time Series Forecasting;Adhikari R.;IICAI,2011

2. Using empirical correlations and artificial neural network to estimate compressibility of low plasticity clays;Akbarimehr D.;Arabian Journal of Geosciences,2020

3. Importance of variability in initial soil moisture and rainfalls on slope stability

4. Particle swarm optimization algorithm for the location of the critical non-circular failure surface in two-dimensional slope stability analysis

5. The development of PSO-ANN and BOA-ANN models for predicting matric suction in expansive clay soil;Davar S.;Mathematics,2022

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