\input zb-basic
\input zb-ioport
\iteman{io-port 05380734}
\itemau{Miche, Yoan; Sorjamaa, Antti; Lendasse, Amaury}
\itemti{OP-ELM: Theory, experiments and a toolbox.}
\itemso{K{\uu}rkov\'a, V\'era (ed.) et al., Artificial neural networks -- ICANN 2008. 18th international conference, Prague, Czech Republic, September 3--6, 2008. Proceedings, Part I. Berlin: Springer (ISBN 978-3-540-87535-2/pbk). Lecture Notes in Computer Science 5163, 145-154 (2008).}
\itemab
Summary: 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 classification) demonstrate, the OP-ELM methodology is considerably faster than the MLP and the LS-SVM, while maintaining the accuracy in the same level. Finally, a toolbox performing the OP-ELM is introduced and instructions are presented.
\itemrv{~}
\itemcc{}
\itemut{}
\itemli{doi:10.1007/978-3-540-87536-9\_16}
\end