Deep Learning in Time Series Analysis

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.

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Bibliographische Detailangaben
1. Verfasser:	Gharehbaghi, Arash
Format:	Buch
Sprache:	eng
Schlagworte:	Deep learning (Machine learning) Probabilities & applied mathematics Time-series analysis Time-series analysis-Data processing
Online-Zugang:	Volltext
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Beschreibung
Zusammenfassung:	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.
DOI:	10.1201/9780429321252