Deep learning in time series analysis
Auteur :
Gharehbaghi, Arash
Éditeur :
Taylor & Francis Ltd
ISBN :
9781032418865
Date de publication :
13 avr. 2025
Dimensions :
23,4 x 15,6 cm
Poids :
380 g
Langue :
Anglais
Pays d'origine :
Grande Bretagne
The concept of deep machine learning is easier to understand by paying attention to the cyclic stochastic time series and a time series whose content is non-stationary not only within the cycles, but also over the cycles as the cycle-to-cycle variations.