Detection of Epilepsy patients using coot optimization based feed forward multilayer neural network-Reference-Cited by-同舟云学术

Detection of Epilepsy patients using coot optimization based feed forward multilayer neural network

Published:2023-09-16 Issue: Volume: Page:1-26
ISSN:0952-813X
Container-title:Journal of Experimental & Theoretical Artificial Intelligence
language:en
Short-container-title:Journal of Experimental & Theoretical Artificial Intelligence

Author:

Nagwanshi Neeraj¹²,Potnis Anjali³

Affiliation:

1. Department of Electronics and Telecommunication Engineering, S.V. Polytechnic College, Bhopal, Madhya Pradesh, India

2. Research Scholar, Rajiv Gandhi Proudyogiki Vishwavidyalaya (State Technological University of MP), Bhopal, Madhya Pradesh, India

3. Department of Electrical and Electronics Engineering, National Institute of Technical Teachers Training and Research (NITTTR), Bhopal, Madhya Pradesh, India

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Theoretical Computer Science,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/0952813X.2023.2256739

Reference33 articles.

1. Automated diagnosis of epileptic EEG using entropies

2. Stacking ensemble based deep neural networks modeling for effective epileptic seizure detection

3. Multi-category EEG signal classification developing time-frequency texture features based Fisher Vector encoding method

4. Adaptive boost LS-SVM classification approach for time-series signal classification in epileptic seizure diagnosis applications

5. A Tunable-Q wavelet transform and quadruple symmetric pattern based EEG signal classification method

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