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Neutrosophic and Information Fusion

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Online: 2836-7863
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Continuous publication

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Open access journal. All articles are freely available online with no APC.

Neutrosophic and Information Fusion
Full Length Article

Volume 3Issue 2PP: 32-39 • 2024

The Effect of Changing Convolutional Neural Nets Parameters on EEG Signals Recognition Ratio

Khaled Moaz 1*
1University of Mosul, department of computer science and mathematics, Mosul, Iraq
* Corresponding Author.
Received: November 30, 2023 Accepted: March 29, 2024

Abstract

Brain Computer Interface (BCI), especially systems for recognizing brain signals using EEG (Electroencephalography), is one of the important research topics that arouse the interest of many researchers currently. Convolutional Neural Nets (CNN) is one of the most important deep learning classifiers used in this recognition process, but the parameters of this classifier have not yet been precisely defined so that it gives the highest recognition rate and the lowest possible training and recognition time. This research proposes a system for recognizing EEG signals using the CNN network, while studying the effect of changing the parameters of this network on the recognition rate, training time, and recognition time of brain signals, as a result the proposed recognition system was achieved 76.38 % recognition rate, And the reduction of classifier training time (3 seconds) by using Common Spatial Pattern (CSP) in the preprocessing of IV2b dataset, and a recognition rate of 76.533% was reached by adding a layer to the proposed classifier.

Keywords

CNN EEG Signals Recognition ratio

References

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Moaz, Khaled. "The Effect of Changing Convolutional Neural Nets Parameters on EEG Signals Recognition Ratio." Neutrosophic and Information Fusion, vol. Volume 3, no. Issue 2, 2024, pp. 32-39. DOI: https://doi.org/10.54216/NIF.030205
Moaz, K. (2024). The Effect of Changing Convolutional Neural Nets Parameters on EEG Signals Recognition Ratio. Neutrosophic and Information Fusion, Volume 3(Issue 2), 32-39. DOI: https://doi.org/10.54216/NIF.030205
Moaz, Khaled. "The Effect of Changing Convolutional Neural Nets Parameters on EEG Signals Recognition Ratio." Neutrosophic and Information Fusion Volume 3, no. Issue 2 (2024): 32-39. DOI: https://doi.org/10.54216/NIF.030205
Moaz, K. (2024) 'The Effect of Changing Convolutional Neural Nets Parameters on EEG Signals Recognition Ratio', Neutrosophic and Information Fusion, Volume 3(Issue 2), pp. 32-39. DOI: https://doi.org/10.54216/NIF.030205
Moaz K. The Effect of Changing Convolutional Neural Nets Parameters on EEG Signals Recognition Ratio. Neutrosophic and Information Fusion. 2024;Volume 3(Issue 2):32-39. DOI: https://doi.org/10.54216/NIF.030205
K. Moaz, "The Effect of Changing Convolutional Neural Nets Parameters on EEG Signals Recognition Ratio," Neutrosophic and Information Fusion, vol. Volume 3, no. Issue 2, pp. 32-39, 2024. DOI: https://doi.org/10.54216/NIF.030205
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