Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/326995
Type: Artigo
Title: Classical least squares combined with spectral interval selection using genetic algorithm for prediction of constituents in pharmaceutical solid dosage forms from near infrared chemical imaging data
Author: Alexandrino, Guilherme L.
Breitkreitz, Márcia C.
Poppi, Ronei J.
Abstract: A new algorithm that combines spectral interval selection using genetic algorithm and classical least squares (GA-iCLS) is presented for the prediction of the active pharmaceutical ingredients and excipients in various pharmaceutical solid dosage forms fr
Subject: Espectroscopia de imagem
Algoritmos genéticos
Infravermelho próximo
Fármacos
Country: Reino Unido
Editor: Sage
Citation: Journal Of Near Infrared Spectroscopy. N I R Publications, v. 24, p. 157 - 169, 2016.
Rights: fechado
Identifier DOI: 10.1255/jnirs.1201
Address: https://journals.sagepub.com/doi/abs/10.1255/jnirs.1201
Date Issue: 2016
Appears in Collections:IQ - Artigos e Outros Documentos

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