Editors:
- Includes cutting-edge methods and protocols
- Provides step-by-step detail essential for reproducible results
- Contains key notes and implementation advice from the experts
- Includes supplementary material: sn.pub/extras
Part of the book series: Methods in Molecular Biology (MIMB, volume 1260)
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Table of contents (19 protocols)
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Front Matter
About this book
This volume presents examples of how ANNs are applied in biological sciences and related areas. Chapters focus on the analysis of intracellular sorting information, prediction of the behavior of bacterial communities, biometric authentication, studies of Tuberculosis, gene signatures in breast cancer classification, use of mass spectrometry in metabolite identification, visual navigation, and computer diagnosis. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, application details for both the expert and non-expert reader, and tips on troubleshooting and avoiding known pitfalls.
Authoritative and practical, Artificial Neural Networks: Second Edition aids scientists in continuing to study Artificial Neural Networks (ANNs).
Editors and Affiliations
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Chemistry Department, Oxford University, UK, and University of Victoria, Victoria, Canada
Hugh Cartwright
Bibliographic Information
Book Title: Artificial Neural Networks
Editors: Hugh Cartwright
Series Title: Methods in Molecular Biology
DOI: https://doi.org/10.1007/978-1-4939-2239-0
Publisher: Springer New York, NY
eBook Packages: Springer Protocols
Copyright Information: Springer Science+Business Media New York 2015
Hardcover ISBN: 978-1-4939-2238-3Published: 11 December 2014
Softcover ISBN: 978-1-4939-4893-2Published: 30 April 2017
eBook ISBN: 978-1-4939-2239-0Published: 10 December 2014
Series ISSN: 1064-3745
Series E-ISSN: 1940-6029
Edition Number: 2
Number of Pages: XI, 340
Number of Illustrations: 27 b/w illustrations, 65 illustrations in colour
Topics: Cell Biology