首页|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 ... )
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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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.
CartagenaSpainEuropeCyborgsEmerg ing TechnologiesMachine LearningPolytechnic University Cartagena
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