Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/4486
Title: A training algorithm for classification of high-dimensional data
Authors: Vieira, Armando 
Barradas, Nuno 
Keywords: Classification; Learning vector quantization; Hidden layer learning vector quantization; Feature extraction; Rutherford backscattering
Issue Date: 2003
Citation: Neurocomputing. 50:(2003) 461-472
Abstract: We propose an algorithm for training multi layer preceptrons (MLP) for classification problems, that we named hidden layer learning vector quantization. It consists of applying learning vector quantization to the last hidden layer of a MLP and it gave very successful results on problems containing a large number of correlated inputs. It was applied with excellent results on classification of Rutherford backscattering spectra and to a benchmark problem of image recognition.
URI: http://hdl.handle.net/10316/4486
Rights: openAccess
Appears in Collections:FCTUC Física - Artigos em Revistas Internacionais

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