Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9652957 | Knowledge-Based Systems | 2005 | 8 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Kenneth Hennessy, Michael G. Madden, Jennifer Conroy, Alan G. Ryder,