Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/81788
Title: | Epileptic EEG signals recognition using a deep view-Reduction TSK fuzzy system with high interpretability | Authors: | Zhang, YP Li, XZ Zhu, JQ Wu, CY Wu, QF |
Issue Date: | 2019 | Source: | IEEE access, 20 Sept. 2019, v. 7, p. 137344-137354 | Abstract: | Takagi-Sugeno-Kang (TSK) fuzzy systems are well known for their good balance between approximation accuracy and interpretability. In this paper, we propose a deep view-reduction TSK fuzzy system termed as DVR-TSK-FS in which two powerful mechanisms associating with a deep structure are developed: 1) during the multi-view learning in each component, a sample-distribution-dependent parameter is defined to control the learning of the weight of each view. The parameter is not fixed by users, it is set according to the feature space in advance such that the learnt weight of each view indeed reflects the amount of pattern information involved in each view; 2) during the iteration of DRV-TSK-FS in each component, weak views are automatically reduced by comparing the learnt weight with a fixed threshold which is also automatically set according to the number of objects and the dimension of the feature space. 3) All components are linked in a stacked way based on the stacked generalization principle such that the outputs of all previous components are augmented into the current one which can help open the manifold structure of the original feature space. DRV-TSK-FS is testified on a multi-view EEG dataset for epileptic EEG signals recognition. | Keywords: | Multi-view learning Stacked generalization principle View reduction TSK fuzzy systems |
Publisher: | Institute of Electrical and Electronics Engineers | Journal: | IEEE access | ISSN: | 2169-3536 | DOI: | 10.1109/ACCESS.2019.2942641 | Rights: | This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see http://creativecommons.org/licenses/by/4.0/ The following publication Y. Zhang, X. Li, J. Zhu, C. Wu and Q. Wu, "Epileptic EEG Signals Recognition Using a Deep View-Reduction TSK Fuzzy System With High Interpretability," in IEEE Access, vol. 7, pp. 137344-137354, 2019 is available at https://dx.doi.org/10.1109/ACCESS.2019.2942641 |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Zhang_Epileptic_EEG_Signals.pdf | 5.18 MB | Adobe PDF | View/Open |
Page views
54
Last Week
2
2
Last month
Citations as of Jun 4, 2023
Downloads
67
Citations as of Jun 4, 2023
SCOPUSTM
Citations
5
Citations as of Jun 2, 2023
WEB OF SCIENCETM
Citations
6
Citations as of Jun 1, 2023

Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.