Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/106652
Type: Artigo de periódico
Title: Use Of Radial Basis Function Networks And Near-infrared Spectroscopy For The Determination Of Total Nitrogen Content In Soils From Sao Paulo State
Author: Fidencio P.H.
Poppi R.J.
De Andrade J.C.
De Abreu M.F.
Abstract: Total nitrogen has been determined by using a model developed between the conventional chemical measurements and diffuse reflectance spectra in the near-infrared region. Samples (244) from different types of soils with total nitrogen contents ranging from 0.20 to 13.60% (m/m) were modeled by partial least-squares regression (PLS), multi-layer perceptron feed-forward networks (MLP) and radial basis function networks (RBFN). The RBFN model produced a better square error of prediction (SEP) of 0.048 and R2 = 0.93 in a procedure that is simpler, faster and less dependent on the initial conditions. 2008 © The Japan Society for Analytical Chemistry.
Editor: Japan Society for Analytical Chemistry
Rights: aberto
Identifier DOI: 10.2116/analsci.24.945
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-49749146452&partnerID=40&md5=18e6fa31d474914f1d218085ff72cc5b
Date Issue: 2008
Appears in Collections:Unicamp - Artigos e Outros Documentos

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