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Evolutionary Intelligence
Erschienen in: Evolutionary Intelligence 2/2021

13.03.2021 | Special Issue

A novel weather prediction model using a hybrid mechanism based on MLP and VAE with fire-fly optimization algorithm

verfasst von: Veera Ankalu Vuyyuru, G. Appa Rao, Y. V. Srinivasa Murthy

Erschienen in: Evolutionary Intelligence | Ausgabe 2/2021

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Abstract

The future weather data source will continue to grow rapidly, and new developments in machine learning would allow government agencies and companies to use all this data further. The weather prediction will never be flawless, but artificial intelligence (AI) can strive to enhance the exactness and consistency of the process. This paper proposes an approach using a hybrid mechanism based on multi-layer perceptron (MLP) and variational auto-encoder (VAE) with a fire-fly optimization mechanism. Weather-related data contains many features. A few of which are global or generalized features, and some are local or internal features. Single mechanism may not be effective in the process of extracting the specified features. Hence, a hybrid mechanism with the support of VAE and MLP is proposed to extract features and do classification. VAE is used to extract the global features from the weather data and the obtained or processed intermediately output given to the input as the MLP, which will extract all local or internal features very effectively.
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Metadaten
Titel
A novel weather prediction model using a hybrid mechanism based on MLP and VAE with fire-fly optimization algorithm
verfasst von
Veera Ankalu Vuyyuru
G. Appa Rao
Y. V. Srinivasa Murthy
Publikationsdatum
13.03.2021
Verlag
Springer Berlin Heidelberg
Erschienen in
Evolutionary Intelligence / Ausgabe 2/2021
Print ISSN: 1864-5909
Elektronische ISSN: 1864-5917
DOI
https://doi.org/10.1007/s12065-021-00589-8

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