An enhanced ensemble deep random vector functional link network for driver fatigue recognition
<p>This work investigated the use of an ensemble deep random vector functional link (edRVFL) network for electroencephalogram (EEG)-based driver fatigue recognition. Against the low feature learning capability of the edRVFL network from raw EEG signals, two strategies were exploited in this wo...
محفوظ في:
| المؤلف الرئيسي: | Ruilin Li (5627456) (author) |
|---|---|
| مؤلفون آخرون: | Ruobin Gao (16003195) (author), Liqiang Yuan (11253801) (author), P.N. Suganthan (16518528) (author), Lipo Wang (17185534) (author), Olga Sourina (17823674) (author) |
| منشور في: |
2023
|
| الموضوعات: | |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
A spectral-ensemble deep random vector functional link network for passive brain–computer interface
حسب: Ruilin Li (5627456)
منشور في: (2023) -
A decomposition-based hybrid ensemble CNN framework for driver fatigue recognition
حسب: Ruilin Li (5627456)
منشور في: (2023) -
Ensemble Deep Random Vector Functional Link Neural Network Based on Fuzzy Inference System
حسب: M. Sajid (3070545)
منشور في: (2024) -
Ensemble Deep Random Vector Functional Link Neural Network for Regression
حسب: Minghui Hu (2457952)
منشور في: (2022) -
Random vector functional link network: Recent developments, applications, and future directions
حسب: A.K. Malik (16003193)
منشور في: (2023)