A deep learning algorithm using a fully connected sparse autoencoder neural network for landslide susceptibility prediction

Title
A deep learning algorithm using a fully connected sparse autoencoder neural network for landslide susceptibility prediction
Authors
Keywords
Landslide susceptibility prediction, Deep learning, Fully connected sparse autoencoder, Support vector machine, Back-propagation neural network
Journal
Landslides
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2019-09-11
DOI
10.1007/s10346-019-01274-9

Ask authors/readers for more resources

Reprint

Contact the author

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started