Improved KELM for multiclass classification with wavelet kernel.
problem Low test accuracy in multiclass classification problems.
method Mexican Hat wavelet kernel ELM.
result Significantly improved performance compared to other classifiers.
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2 results for “KELM”
Hybrid approach improves crude oil price forecasting using multi-scale data.
problem Forecasting crude oil prices with multi-scale data.
method Hybrid approach combining K-means, KPCA, and KELM.
result Hybrid approach outperforms traditional methods in both level and directional forecasting accuracy.