A novel method for landslide displacement prediction by integrating advanced computational intelligence algorithms
Abstract Landslide displacement prediction is considered as an essential component for developing early warning systems. The modelling of conventional forecast methods requires enormous monitoring data that limit its application. To conduct accurate displacement prediction with limited data, a novel...
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Autores principales: | Chao Zhou, Kunlong Yin, Ying Cao, Bayes Ahmed, Xiaolin Fu |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2018
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Materias: | |
Acceso en línea: | https://doaj.org/article/987cf67a18e648a09da92652c2a87999 |
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