Novel Ensemble Approach of Deep Learning Neural Network (DLNN) Model and Particle Swarm Optimization (PSO) Algorithm for Prediction of Gully Erosion Susceptibility

Novel Ensemble Approach of Deep Learning Neural Network (DLNN) Model and Particle Swarm Optimization (PSO) Algorithm for Prediction of Gully Erosion Susceptibility

This study aims to evaluate a new approach in modeling gully erosion susceptibility (GES) based on a deep learning neural network (DLNN) model and an ensemble particle swarm optimization (PSO) algorithm with DLNN (PSO-DLNN), comparing these approaches with common artificial neural network (ANN) and...

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Bibliographic Details
Main Authors: Shahab S. Band, Saeid Janizadeh, Subodh Chandra Pal, Asish Saha, Rabin Chakrabortty, Manouchehr Shokri, Amirhosein Mosavi
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Sensors
Subjects:
gully erosion susceptibility
deep learning neural network
DLNN
particle swarm optimization
PSO
geohazard
Online Access:https://www.mdpi.com/1424-8220/20/19/5609

Internet

https://www.mdpi.com/1424-8220/20/19/5609

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