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Author(s) :- Gharehbaghi Arash (Malardalen University Vastmanland Sweden) | Format :- Paperback |
Publisher :- Taylor & Francis Ltd | Pub. Date :- 2025-04-13 |
ISBN-13 :- 9781032418865 | |
Pagination :- 196 pages, 1 Tables, black and white; 17 Illustrations, color; 36 Illustrations, black and white | |
Dimensions :- 156 x 234 x 14 | |
Weight :- 294 |
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.