Robotics & Machine Learning Daily News2024,Issue(Oct.17) :3-4.

Studies from Polytechnic University Cartagena Have Provided New Information abou t Machine Learning (Are We Crossing a Minimum of the Gleissberg Centennial Cycle ? Multivariate Machine Learning-based Prediction of the Sunspot Number Using ... )

Robotics & Machine Learning Daily News2024,Issue(Oct.17) :3-4.

Studies from Polytechnic University Cartagena Have Provided New Information abou t Machine Learning (Are We Crossing a Minimum of the Gleissberg Centennial Cycle ? Multivariate Machine Learning-based Prediction of the Sunspot Number Using ... )

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news originating from Cartagena, Spain, by NewsRx correspondents, research stated, “We propose a new method for predicting the solar cycle in terms of the sunspot number (SN) N ) based on multivariate m achine learning algorithms, various proxies of solar activity, and the spectral analysis of all considered time series via the fast Fourier transform (through t he latter we identify periodicities with which to lag these series and thus gene rate new attributes -predictors- for incorporation in the prediction model).” Funders for this research include Spanish Government, European Union (EU), Unive rsidad de Extremadura, Ministerio de Universidades of the Spanish Government.

Key words

Cartagena/Spain/Europe/Cyborgs/Emerg ing Technologies/Machine Learning/Polytechnic University Cartagena

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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