Artificial Neural Networks in Biology and Chemistry—The Evolution of a New Analytical Tool

Part of the Methods in Molecular Biology™ book series (MIMB, volume 458)

Abstract

Once regarded as an eccentric and unpromising algorithm for the analysis of scientific data, the neural network has been developed in the last decade into a powerful computational tool. Its use now spans all areas of science, from the physical sciences and engineering to the life sciences and allied subjects. Applications range from the assessment of epidemiological data or the deconvolution of spectra to highly practical applications, such as the electronic nose. This introductory chapter considers briefly the growth in the use of neural networks and provides some general background in preparation for the more detailed chapters that follow.

Keywords

Artificial intelligence neural network analytical chemistry chromatography life sciences mass spectrum sensor electronic nose QSAR olive oil 

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Copyright information

© Humana Press, a part of Springer Science + Business Media, LLC 2008

Authors and Affiliations

  1. 1.Department of ChemistryUniversity of OxfordOxfordEngland

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