RUL prediction (C-MAPSS dataset)
Updated Mon, 16 Dec 2019 06:37:44 +0000
This work introduces a new improvements in LCI-ELM proposed in . The new contributions focus on the adaptation of training model towards higher dimensional “time –varying “data. The proposed Algorithm is investigated using C-MAPSS dataset. PSO and R-ELM training rules are integrated together for this mission.
The details of the proposed Algorithm and the user guide are available in : https://www.researchgate.net/publication/337945405_Dynamic_Adaptation_for_Length_Changeable_Weighted_Extreme_Learning_Machine
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BERGHOUT Tarek,Mouss Leila Hayet, Kadri Ouahab, "Dynamic Adaptation for Length Changeable Weighted Extreme Lerning Machine", (https://www.mathworks.com/matlabcentral/fileexchange/<...>), MATLAB Central File Exchange. Retrieved December 9, 2019.
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