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Journal ArticleDOI

A review of near infrared spectroscopy and chemometrics in pharmaceutical technologies.

TLDR
This review focuses on chemometric techniques and pharmaceutical NIRS applications, covering qualitative analyses, quantitative methods and on-line applications for near-infrared spectroscopy for pharmaceutical forms.
About
This article is published in Journal of Pharmaceutical and Biomedical Analysis.The article was published on 2007-07-27. It has received 1041 citations till now.

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Citations
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Journal ArticleDOI

Near Infrared Spectroscopy (NIRS) as a Tool to Analyze Phenolic Compounds in Plants

TL;DR: In this paper, the authors reviewed recent applications of NIRS in the analysis of pheno-lic compounds in plant material and found that it is a widely used analytical technique in phyto-analytics and is included in pharmacopeias to an increasing extent.
Dissertation

Desarrollo de un modelo predictivo usando tecnología NIRs para determinar las extracciones del triticale de doble aptitud (forraje y grano)

TL;DR: In this paper, the authors used NIR spectroscopy to determine the extracciones of triticale de doble aptitude (CV. Verato) in two colectivos: Colectivo intacto fresco and colectivo molido seco (hojas secas y molidas).
Journal ArticleDOI

The quality control of two Pueraria species using Raman spectroscopy coupled with partial least squares analysis

TL;DR: In this article, the authors used Raman spectroscopy in combination with partial least squares analysis (PLS-DA) to predict the total phenolic content (TPC) and antioxidant capacities of Pueraria species.
Journal ArticleDOI

The utility of near infrared spectroscopy for age estimation of deepwater sharks

TL;DR: NIRS has the capacity to non-lethally estimate ages from fin spines and fin clips, and thus could significantly reduce the numbers of sharks that need to be lethally sampled for ageing studies.
References
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Book

Neural Networks: A Comprehensive Foundation

Simon Haykin
TL;DR: Thorough, well-organized, and completely up to date, this book examines all the important aspects of this emerging technology, including the learning process, back-propagation learning, radial-basis function networks, self-organizing systems, modular networks, temporal processing and neurodynamics, and VLSI implementation of neural networks.
Book

Classification and regression trees

Leo Breiman
TL;DR: The methodology used to construct tree structured rules is the focus of a monograph as mentioned in this paper, covering the use of trees as a data analysis method, and in a more mathematical framework, proving some of their fundamental properties.
Journal ArticleDOI

Nearest neighbor pattern classification

TL;DR: The nearest neighbor decision rule assigns to an unclassified sample point the classification of the nearest of a set of previously classified points, so it may be said that half the classification information in an infinite sample set is contained in the nearest neighbor.
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