Trend and seasonality features extraction with pre-trained CNN and recurrence plot
Trend and seasonality features extraction with pre-trained CNN and recurrence plot
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Publisher
London: Taylor & Francis
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Language
English
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Publisher
London: Taylor & Francis
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Scope and Contents
Contents
GoogLeNet is a pre-trained Convolutional Neural Network (CNN) that allows transfer learning and has achieved high recognition rates in image classification tasks. A Recurrence Plot (RP) is an imaging method that depicts the recurrence of the state space system using coloured points and lines in 2D images. This work contributes to facilitating time...
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Full title
Trend and seasonality features extraction with pre-trained CNN and recurrence plot
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TN_cdi_crossref_primary_10_1080_00207543_2023_2227903
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1080_00207543_2023_2227903
Other Identifiers
ISSN
0020-7543
E-ISSN
1366-588X
DOI
10.1080/00207543.2023.2227903
