Fuzzy granular recurrence plot and quantification analysis: A novel method for classification-Reference-Cited by-同舟云学术

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Fuzzy granular recurrence plot and quantification analysis: A novel method for classification

Published:2023-07 Issue: Volume:139 Page:109456
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

He Qian,Yu Fusheng,Chang Jiaqi,Ouyang Chenxi

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference40 articles.

1. Building trend fuzzy granulation based LSTM recurrent neural network for long-term time series forecasting;Tang;IEEE Trans. Fuzzy Syst.,2021

2. Big data analytics in telecommunications: governance, architecture and use cases;Kastouni;J. King Saud Univ. - Comput.Inf. Sci.,2020

3. A one-factor granular fuzzy logical relationship based multi-point ahead prediction model;Li,2019

4. Temporal granulation and its application to signal analysis;Pedrycz;Inf. Sci.,2002

5. Deep learning for time series classification: a review;Ismail Fawaz;Data Min. Knowl. Discov.,2019

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