Multilayer Perceptron and Their Comparison with Two Nature-Inspired Hybrid Techniques of Biogeography-Based Optimization (BBO) and Backtracking Search Algorithm (BSA) for Assessment of Landslide Susceptibility

Regarding evaluating disaster risks in Iran’s West Kurdistan area, the multi-layer perceptron (MLP) neural network was upgraded with two novel techniques: backtracking search algorithm (BSA) and biogeography-based optimization (BBO). Utilizing 16 landslide conditioning elements such as elevation (as...

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Vydané v:	Land (Basel) Ročník 12; číslo 1; s. 242
Hlavní autori:	Moayedi, Hossein, Canatalay, Peren Jerfi, Ahmadi Dehrashid, Atefeh, Cifci, Mehmet Akif, Salari, Marjan, Le, Binh Nguyen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.01.2023
Predmet:	Algorithms Artificial intelligence BBO algorithm Biogeography BSA algorithm Disaster risk Evolution Genetic algorithms Geology Land use Landslides Landslides & mudslides landslides susceptibility assessment multilayer perceptron Multilayer perceptrons Multilayers Neural networks Optimization Optimization algorithms Rainfall Search algorithms Sediment transport Iran
ISSN:	2073-445X, 2073-445X
On-line prístup:	Získať plný text
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