Multi‐kernel‐based random vector functional link network with decomposed features for epileptic EEG signal classification

Research article (IET Signal Processing, 2020) · cited 14× · AI/ML
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Multi‐kernel‐based random vector functional link network with decomposed features for epileptic EEG signal classification

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Multi‐kernel‐based random vector functional link network with decomposed features for epileptic EEG signal classification is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Multi‐kernel‐based random vector functional link network with decomposed features for epileptic EEG signal classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/multikernelbased-random-vector-functional-link-network-with-decomposed-features-for-epileptic-eeg-signal-classification
MLA “Multi‐kernel‐based random vector functional link network with decomposed features for epileptic EEG signal classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multikernelbased-random-vector-functional-link-network-with-decomposed-features-for-epileptic-eeg-signal-classification.
BibTeX @misc{4ortxyz_multikernelbased-random-vector-functional-link-network-with-decomposed-features-for-epileptic-eeg-signal-classification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multi‐kernel‐based random vector functional link network with decomposed features for epileptic EEG signal classification}}, year = {2026}, url = {https://4ort.xyz/entity/multikernelbased-random-vector-functional-link-network-with-decomposed-features-for-epileptic-eeg-signal-classification}, note = {Accessed: 2026-05-24}}
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