Technical note: A simple feedforward artificial neural network for high-temporal-resolution rain event detection using signal attenuation from commercial microwave links
<p>Two simple feedforward neural networks (multilayer perceptrons – MLPs) are trained to detect rainfall events using signal attenuation from commercial microwave links (CMLs) as predictors and high-temporal-resolution reference data as the target. MLP<span class="inline-formula"&...
Saved in:
| Main Authors: | E. Øydvin, M. Graf, C. Chwala, M. A. Wolff, N.-O. Kitterød, V. Nilsen |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2024-11-01
|
| Series: | Hydrology and Earth System Sciences |
| Online Access: | https://hess.copernicus.org/articles/28/5163/2024/hess-28-5163-2024.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Combining commercial microwave links and weather radar for classification of dry snow and rainfall
by: E. Øydvin, et al.
Published: (2025-05-01) -
Rain Attenuation Study over an 18 GHz Terrestrial Microwave Link in South Korea
by: Sujan Shrestha, et al.
Published: (2019-01-01) -
Weighted Mean Annual Rain Height Applied to Rain Attenuation Prediction on Earth-Space Links
by: Leke Lin, et al.
Published: (2022-01-01) -
Rain attenuation distribution characteristic of Ka band satellite communication
by: KANG Jian, et al.
Published: (2006-01-01) -
Comparative assessment of postural stability and range of motion between the left and right lower limbs in boys aged 14 years
by: Robert Walaszek, et al.
Published: (2022-04-01)