Editors:
- Serves as a detailed, easy-to-use guide to the application of artificial neural networks
- Includes methods involving the mapping and interpretation of Infra Red spectra and modelling environmental toxicology
Part of the book series: Methods in Molecular Biology (MIMB, volume 458)
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Table of contents (12 protocols)
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Front Matter
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Back Matter
About this book
As an extension of artificial intelligence research, artificial neural networks (ANN) aim to simulate intelligent behavior by mimicking the way that biological neural networks function. In Artificial Neural Networks, an international panel of experts report the history of the application of ANN to chemical and biological problems, provide a guide to network architectures, training and the extraction of rules from trained networks, and cover many cutting-edge examples of the application of ANN to chemistry and biology. In the tradition of the highly successful Methods in Molecular Biology™ series, this volume exhibits clear, easy-to-use information with many step-by-step laboratory protocols.
Comprehensive and state-of-the-art, Artificial Neural Networks is an excellent guide to this accelerating technological field of study.
Editors and Affiliations
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ChemQuest, United Kingdom, UK
David J. Livingstone
Bibliographic Information
Book Title: Artificial Neural Networks
Book Subtitle: Methods and Applications
Editors: David J. Livingstone
Series Title: Methods in Molecular Biology
DOI: https://doi.org/10.1007/978-1-60327-101-1
Publisher: Humana Totowa, NJ
eBook Packages: Springer Protocols
Copyright Information: Humana Press 2009
Hardcover ISBN: 978-1-58829-718-1Published: 08 October 2008
Softcover ISBN: 978-1-61737-738-9Published: 09 October 2011
eBook ISBN: 978-1-60327-101-1Published: 09 August 2010
Series ISSN: 1064-3745
Series E-ISSN: 1940-6029
Edition Number: 1
Number of Pages: X, 254
Number of Illustrations: 74 b/w illustrations
Topics: Artificial Intelligence, Neurosciences, Computer Science, general