Kernel Extreme Learning Machine (KELM)

Kernel Extreme Learning Machine (KELM) enhances the standard Extreme Learning Machine algorithm with superior regression prediction capabilities, improved generalization performance, and faster computational speed while achieving comparable or better prediction accuracy. The algorithm leverages kernel functions to implicitly map input data to high-dimensional feature spaces, enabling efficient nonlinear modeling without explicit feature transformation.