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...
Main Author: | |
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Format: | eBook |
Language: | English |
Published: |
Boca Raton
CRC Press
2023
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Edition: | First edition |
Subjects: | |
Online Access: | |
Collection: | O'Reilly - Collection details see MPG.ReNa |
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"-- |
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Physical Description: | 1 online resource |
ISBN: | 9781000911435 9780429321252 9781000911404 1000911438 0429321252 |