Efficient Estimation of Multidimensional Regression Model with Multilayer Perceptron

dc.creatorRynkiewicz, Joseph
dc.date2008-02-21
dc.date.accessioned2026-07-07T09:22:31Z
dc.date.available2026-07-07T09:22:31Z
dc.descriptionThis work concerns estimation of multidimensional nonlinear regression models using multilayer perceptron (MLP). The main problem with such model is that we have to know the covariance matrix of the noise to get optimal estimator. however we show that, if we choose as cost function the logarithm of the determinant of the empirical error covariance matrix, we get an asymptotically optimal estimator.
dc.identifierhttps://arxiv.org/abs/0802.3142
dc.identifierhttp://arxiv.org/abs/0802.3142
dc.identifierDans ESANN 2005 - ESANN 2005, Bruges : Belgique (2005)
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/155403
dc.subjectStatistics Theory
dc.subjectMachine Learning
dc.titleEfficient Estimation of Multidimensional Regression Model with Multilayer Perceptron
dc.typetext

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