Deep learning in time series analysis /

"The concept of deep machine learning becomes easier to understandable 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 beat to beat variations. This book introduces original de...

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Bibliographic Details

Main Author:	Gharehbaghi, Arash, 1972- (Author)
Corporate Author:	Taylor & Francis
Format:	eBook
Language:	English
Published:	Boca Raton : CRC Press, 2023.
Edition:	First edition.
Subjects:	Time-series analysis > Data processing. Deep learning (Machine learning) Série chronologique > Informatique. Apprentissage profond. COMPUTERS / Data Modeling & Design MATHEMATICS / Probability & Statistics / General Time-series analysis > Data processing Electronic books.
Online Access:	Connect to the full text of this electronic book