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

Band, Shahab S; Janizadeh, Saeid; Chandra Pal, Subodh; Saha, Asish; Chakrabortty, Rabin; Shokri, Manouchehr; Mosavi, Amirhosein

Band, Shahab S; Janizadeh, Saeid; Chandra Pal, Subodh; Saha, Asish; Chakrabortty, Rabin; Shokri, Manouchehr; Mosavi, Amirhosein.

Afiliação

Band SS; Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam.
Janizadeh S; Future Technology Research Center, National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliou, Yunlin 64002, Taiwan.
Chandra Pal S; Department of Watershed Management Engineering and Sciences, Faculty in Natural Resources and Marine Science, Tarbiat Modares University, 14115-111, Tehran, Iran.
Saha A; Department of Geography, The University of Burdwan, West Bengal, 713104, Burdwan, India.
Chakrabortty R; Department of Geography, The University of Burdwan, West Bengal, 713104, Burdwan, India.
Shokri M; Department of Geography, The University of Burdwan, West Bengal, 713104, Burdwan, India.
Mosavi A; Institute of Structural Mechanics, Bauhaus Universität Weimar, 99423 Weimar, Germany.

Sensors (Basel) ; 20(19)2020 Sep 30.

Article em En | MEDLINE | ID: mdl-33008132

Palavras-chave

DLNN; PSO; deep learning; deep learning neural network; ensemble model; erosion; extreme events; geohazard; geoinformatics; gully erosion susceptibility; hazard map; natural hazard; particle swarm optimization; spatial model

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

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PubMed Links

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article