Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/79561
Type: Artigo de periódico
Title: Determination of organic matter in soils using radial basis function networks and near infrared spectroscopy
Author: Fidencio, PH
Poppi, RJ
de Andrade, JC
Abstract: A relationship was established between the organic matter content in soils determined by conventional chemical measurements and by diffuse reflectance spectra in the near infrared region (1000-2500 nm). Radial basis function networks (RBFN) with regularized forward selection to control the model complexity were used for non-parametric regression, resulting in a RMSEP of 0.25%. The observed results using RBFN were better than those obtained by partial least squares regression (PLS) and multi-layer perceptron (MLP) feed-forward networks: with a back-propagation learning algorithm. RBFN is a suitable tool to model this complex system, with additional advantages over MLP, since the training procedure is less dependent on the initial conditions. (C) 2002 Elsevier Science B.V. All rights reserved.
Subject: radial basis function networks (RBFN)
regularized forward selection
near infrared (NIR) spectroscopy
soil
organic matter
Country: Holanda
Editor: Elsevier Science Bv
Rights: fechado
Identifier DOI: 10.1016/S0003-2670(01)01506-9
Date Issue: 2002
Appears in Collections:Unicamp - Artigos e Outros Documentos

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