Modeling spatio-temporal distribution of soil moisture by deep learning-based cellular automata model

Title
Modeling spatio-temporal distribution of soil moisture by deep learning-based cellular automata model
Authors
Keywords
soil moisture, soil moisture sensor network, macroscopic cellular automata (MCA), deep belief network (DBN), multi-layer perceptron (MLP), uncertainty assessment, hydropedology
Journal
Journal of Arid Land
Volume 8, Issue 5, Pages 734-748
Publisher
Springer Nature
Online
2016-05-04
DOI
10.1007/s40333-016-0049-0

Ask authors/readers for more resources

Reprint

Contact the author

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search