DSSAE-BBOA: deep learning-based weather big data analysis and visualization

The weather forecasting process is used to predict the future atmospheric condition of a specified location. The evolution of the big data era gives the chances to significantly increase the prediction accuracy of weather conditions. In this paper, a deep learning-based stacked sparse autoencoder (D...

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Bibliographic Details
Published in:	Multimedia tools and applications Vol. 80; no. 18; pp. 27471 - 27493
Main Authors:	G, Madhukar Rao, Dharavath, Ramesh
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.07.2021 Springer Nature B.V
Subjects:	Accuracy Algorithms Atmospheric models Big Data Computer Communication Networks Computer Science Data analysis Data Structures and Information Theory Deep learning Feature extraction Machine learning Meteorological data Model accuracy Multimedia Information Systems Optimization Prediction models Principal components analysis Special Purpose and Application-Based Systems Weather forecasting Feature selection Stacked sparse autoencoder Weather forecasting Optimization
ISSN:	1380-7501, 1573-7721
Online Access:	Get full text
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