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

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Artificial Neural Networks

Part of the book series: Methods in Molecular Biology™ ((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.

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Authors and Affiliations

  1. Department of Chemistry, University of Oxford, Physical and Theoretical Chemistry Laboratory, South Parks Road, Oxford, England, OX1 3QZ

    Hugh M. Cartwright B.Sc, PhD

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  1. Hugh M. Cartwright B.Sc, PhD
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Correspondence to Hugh M. Cartwright B.Sc, PhD .

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Editors and Affiliations

  1. ChemQuest, Sandown, Isle of Wight, United Kingdom, PO36 8LZ, UK

    David J. Livingstone

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

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Cartwright, H.M. (2008). Artificial Neural Networks in Biology and Chemistry—The Evolution of a New Analytical Tool. In: Livingstone, D.J. (eds) Artificial Neural Networks. Methods in Molecular Biology™, vol 458. Humana Press. https://doi.org/10.1007/978-1-60327-101-1_1

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  • DOI: https://doi.org/10.1007/978-1-60327-101-1_1

  • Publisher Name: Humana Press

  • Print ISBN: 978-1-58829-718-1

  • Online ISBN: 978-1-60327-101-1

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