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Statistical Analysis on Random Matrices of Echo State Network in PEMFC System's Lifetime Prediction
The data-driven method of echo state network (ESN) has been successfully used in the proton exchange membrane fuel cell (PEMFC) system's lifetime prediction area. Nevertheless, the uncertainties of the randomly generated input and internal weight matrices in ESN have not been reported yet. In view of this, an ensemble ESN structure is proposed in this paper to analyze the effects of random matrices from a statistical point of view. For each ESN, the particle swarm optimization (PSO) method isdoi:10.3390/app12073421 fatcat:rie6ewmwavallj66mo5lemcdhq