Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1228285 | Microchemical Journal | 2008 | 8 Pages |
Abstract
Artificial neural networks (ANNs) are non-linear computational tools suitable to a great host of practical application due to their flexibility and adaptability. However, their application to the resolution of chemometric problems is relatively recent (early 1990s).In this communication, different artificial neural networks architectures are presented and their application to different kinds of chemometric problems (mainly classification and regression) is discussed by means of examples taken from the authors' experience, stressing the pros and cons of ANNs with respect to traditional chemometric techniques.
Related Topics
Physical Sciences and Engineering
Chemistry
Analytical Chemistry
Authors
F. Marini, R. Bucci, A.L. Magrì, A.D. Magrì,