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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.
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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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Journal ArticleDOI

Using near-infrared spectroscopy and differential adsorption bed method to study adsorption kinetics of orthoxylene on silica gel.

TL;DR: The study has demonstrated the study on the adsorption kinetics of orthoxylene on silica gel with a novel experimental methodology, and discovered that the advertisersorption process was physical adsorbent, and mainly controlled by external diffusion.
Journal ArticleDOI

Qualitative and quantitative analysis of Angelica sinensis using near infrared spectroscopy and chemometrics

TL;DR: Wang et al. as discussed by the authors used near infrared spectroscopy (NIRS) to differentiate Radix Angelicae sinensis samples from five different geographic origins, and to determine the contents of ethanol extract and ferulic acid in the samples.
Journal ArticleDOI

Non-invasive detection of medicines and edible products by direct measurement through vials using near-infrared spectroscopy: A review

TL;DR: In this article, the authors provide a review of the non-invasive detection studies using NIR spectra for the quantitative analysis and authenticity/qualitative identification of medicines and edible products in detail, evaluate the experimental design and relevant data analysis methods used, and summarize the problems that should be paid attention to and improvement suggestions when conducting similar research in the future.
Journal ArticleDOI

Input variable scaling for statistical modeling

TL;DR: Two input variable scaling methods for improving the accuracy of soft sensors are proposed that can reduce the negative effects of input variables which are not related to an output variable.
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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