Conference Publication Details
Mandatory Fields
Hennessy, K,Madden, MG,Conroy, J,Ryder, AG,Macintosh, A,Ellis, R,Allen, T
APPLICATIONS AND INNOVATIONS IN INTELLIGENT SYSTEMS XII, PROCEEDINGS
An improved genetic programming technique for the classification of Raman spectra
2005
May
Published
1
()
Optional Fields
TRANSFORM INFRARED-SPECTROSCOPY LEAST-SQUARES METHODS NEURAL-NETWORKS IDENTIFICATION REGRESSION
181
192
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.
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