Comparison of debris flow susceptibility assessment methods: support vector machine, particle swarm optimization, and feature selection techniques

Zhao, Haijun; Wei, Aihua; Ma, Fengshan; Dai, Fenggang; Jiang, Yongbing; Li, Hui

doi:10.1007/s11629-023-8395-9

J. Mt. Sci.

2024

DOI: 10.1007/s11629-023-8395-9

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Comparison of debris flow susceptibility assessment methods: support vector machine, particle swarm optimization, and feature selection techniques

Haijun Zhao,

Aihua Wei,

Fengshan Ma

et al.

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Cited by 7 publications

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A comparative evaluation of statistical and machine learning approaches for debris flow susceptibility zonation mapping in the Indian Himalayas

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Gupta,

Falae

et al. 2024

Environ Dev Sustain

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Comparisons of filter, wrapper, and embedded feature selection for rockfall susceptibility prediction and mapping

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High-Precision Debris Flow Scale Prediction Model Based on CIHHO Algorithm Combined With Multilayer Perceptron Neural Network

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Comparison of debris flow susceptibility assessment methods: support vector machine, particle swarm optimization, and feature selection techniques

Cited by 7 publications

References 30 publications

A comparative evaluation of statistical and machine learning approaches for debris flow susceptibility zonation mapping in the Indian Himalayas

A comparative evaluation of statistical and machine learning approaches for debris flow susceptibility zonation mapping in the Indian Himalayas

Comparisons of filter, wrapper, and embedded feature selection for rockfall susceptibility prediction and mapping

High-Precision Debris Flow Scale Prediction Model Based on CIHHO Algorithm Combined With Multilayer Perceptron Neural Network

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