Journal article
Development and optimization of piecewise linear discriminants for the automated detection of chemical species
Analytical chemistry (Washington), Vol.63(9), pp.936-944
05/01/1991
DOI: 10.1021/ac00009a021
Abstract
A pattern recognition technique based on piece wise linear discriminant analysis (PLDA) is described. Algorithms for the calculation and optimization of piece wise linear discriminants are presented. A simplex optimization of the Individual discriminants is described, and a new method to optimize a piece wise linear discriminant is proposed and shown to produce significantly improved results over the nonoptlmlzed method. This methodology is demonstrated through the use of a set of Fourier transform Infrared Interferograms collected by a remote sensor. The discriminant analysis methods produce a yes/no decision about the presence of a target analyse. The results obtained from the PLDA technique are compared with previous results from single linear discriminants and shown to be superior with respect to the separation statistics and the signal-to-noise ratio of the response. © 1991, American Chemical Society. All rights reserved.
Details
- Title: Subtitle
- Development and optimization of piecewise linear discriminants for the automated detection of chemical species
- Creators
- Thomas F KaltenbachGary W Small
- Resource Type
- Journal article
- Publication Details
- Analytical chemistry (Washington), Vol.63(9), pp.936-944
- Publisher
- American Chemical Society
- DOI
- 10.1021/ac00009a021
- ISSN
- 0003-2700
- eISSN
- 1520-6882
- Language
- English
- Date published
- 05/01/1991
- Academic Unit
- Chemistry
- Record Identifier
- 9984216690302771
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