OP-ELM: Theory, Experiments and a Toolbox

Abstract

This paper presents the Optimally-Pruned Extreme Learning Machine (OP-ELM) toolbox. This novel, fast and accurate methodology is applied to several regression and classification problems. The results are compared with widely known Multilayer Perceptron (MLP) and Least-Squares Support Vector Machine (LS-SVM) methods. As the experiments (regression and… (More)
DOI: 10.1007/978-3-540-87536-9_16

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