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
Format: eBook
Language:English
Published: Boca Raton CRC Press 2023
Edition:First edition
Subjects:
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Description
Summary:"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 deep learning methods for classification of such the time series using proposed clustering methods as the learning tools at the deep level"--
Physical Description:1 online resource
ISBN:9781000911435
9780429321252
9781000911404
1000911438
0429321252