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About Rainfall Prediction: A Deep Learning Approach: April 2016
This document discusses a research paper that proposes a deep learning approach for rainfall prediction. Specifically, it uses an autoencoder to reduce and capture nonlinear relationships in attributes, and a multilayer perceptron to perform the prediction task. The approach is tested on over a decade of meteorological data from Colombia and shows improved accuracy at predicting accumulated daily rainfall compared to previous methods. The full paper provides more details on the deep learning architecture, experimental setup, and results.
Detailed Information
| Author: | ['andres alfonso varelo silgado'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 13 |
| Language: | English |
| Format: | |
| Price: | FREE |
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