Human face recognition based on multidimensional PCA and extreme learning machine

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Extreme learning machine: algorithm, theory and applications (2013, methodology): “Pan et al. (2010) use the ELM to predicting reservoir permeability, through the contrast analysis with SVM, found in the reservoir permeability prediction of possibility and advan- tage.”
Short-term load forecasting based on multivariate time series prediction and weighted neural network with random weights and kernels (2018, methodology): “NNRW has been successfully applied to the function approximation [33], time series prediction [34,35], pattern classification [36,37] andotherfields [38].”
Toward an optimal kernel extreme learning machine using a chaotic moth-flame optimization strategy with applications in medical diagnoses (2017, positive): “Since its introduction, it has been used to address a variety of practical problems including cancer diagnosis [2], paraquat poisoning diagnosis [3], prediction of overweight status [4], face recognition [5], image quality”