Two novel neural-evolutionary predictive techniques of dragonfly algorithm (DA) and biogeography-based optimization (BBO) for landslide susceptibility analysis

Two novel neural-evolutionary predictive techniques of dragonfly algorithm (DA) and biogeography-based optimization (BBO) for landslide susceptibility analysis

Due to the wide application of evolutionary science in different engineering problems, the main aim of this paper is to present two novel optimizations of multi-layer perceptron (MLP) neural network, namely dragonfly algorithm (DA) and biogeography-based optimization (BBO) for landslide susceptibili...

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Bibliographic Details
Main Authors: Hossein Moayedi, Abdolreza Osouli, Dieu Tien Bui, Loke Kok Foong, Hoang Nguyen, Bahareh Kalantar
Format: Article
Language:English
Published: Taylor & Francis Group 2019-01-01
Series:Geomatics, Natural Hazards & Risk
Subjects:
landslide susceptibility mapping
artificial neural network
da algorithm
bbo algorithm
Online Access:http://dx.doi.org/10.1080/19475705.2019.1699608

Internet

http://dx.doi.org/10.1080/19475705.2019.1699608

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