Jump to main content
Jump to site search

All chapters
Previous chapter Next chapter


Multivariate Regression using Artificial Neural Networks and Support Vector Machines

The huge efforts made currently by atomic spectroscopists to resolve interferences and optimise instrumental measuring devices to increase accuracy and precision have led to a point where many of the difficulties that need to be solved nowadays cannot be described by simple classical linear regression methods and not even by other advanced linear regression methods. Typical situations where these can fail involve spectral non‐linearities.

This chapter introduces two relatively recent regression methodologies which, in contrast to classical programming, work with rules rather than with well‐defined and fixed algorithms: artificial neural networks (ANNs), a fairly established technique nowadays, and the support vector machine (SVM), which is emerging as a powerful method to perform both classification and regression tasks.

Print publication date: 01 Jul 2013
Copyright year: 2013
Print ISBN: 978-1-84973-796-8
PDF eISBN: 978-1-84973-934-4