Conference Publication Details
Mandatory Fields
Hennessy, K;Madden, MG;Conroy, J;Ryder, AG
KNOWLEDGE-BASED SYSTEMS
An improved genetic programming technique for the classification of Raman spectra
2005
August
Published
1
WOS: 12 ()
Optional Fields
TRANSFORM INFRARED-SPECTROSCOPY LEAST-SQUARES METHODS QUANTITATIVE-ANALYSIS NEURAL-NETWORKS IDENTIFICATION REGRESSION
217
224
The aim of this study is to evaluate the effectiveness of genetic programming relative to that of more commonly-used methods for the identification of components within mixtures of materials using Raman spectroscopy. A key contribution of the genetic programming technique proposed in this research is that it explicitly aims to optimise the certainty levels associated with discovered rules, so as to minimize the chance of misclassification of future samples. (c) 2005 Elsevier B.V. All rights reserved.
10.1016/j.knosys.2004.10.001
Grant Details
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