Using a kernel extreme learning machine with grey wolf optimization to predict the displacement of step-like landslide

By Kang Liao, Yiping Wu, Fa-sheng Miao, Lin-wei Li, Yang Xue. Bulletin of Engineering Geology and the Environment, 2019

68 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Civil and Structural Engineering, Management, Monitoring, Policy and Law

View Paper: https://www.semanticscholar.org/paper/0becb7728c48e9e0b44c76a69cdd7adc67982725

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Kunlong Yin

In Civil and Structural Engineering

1. Kunlong Yin
2. Zeng Taorui
3. Qingli Liu
4. Hongwei Jiang

In Management, Monitoring, Policy and Law

1. Kunlong Yin

Citations in the corpus

• Landslide displacement prediction based on Variational mode decomposition and MIC-GWO-LSTM model (2020, methodology): “This method 53 was simple and efficient, but it cannot extract the random displacement (Liao et al., 2020; Zhang et al., 2020).”