Artificial Neural Networks

Methods and Applications

  • David J. Livingstone

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

Table of contents

  1. Front Matter
    Pages i-x
  2. Jinming Zou, Yi Han, Sung-Sau So
    Pages 14-22
  3. Frank Burden, Dave Winkler
    Pages 23-42
  4. Mehdi Jalali-Heravi
    Pages 78-118
  5. Brendan Larder, Dechao Wang, Andy Revell
    Pages 119-132
  6. Igor I. Baskin, Vladimir A. Palyulin, Nikolai S. Zefirov
    Pages 133-154
  7. Igor V. Tetko
    Pages 180-197
  8. Marco Punta, Burkhard Rost
    Pages 198-225
  9. David J. Livingstone, Antony Browne, Raymond Crichton, Brian D. Hudson, David Whitley, Martyn G. Ford
    Pages 226-243
  10. Back Matter
    Pages 249-254

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.


ANN Evolution Network architecture artificial intelligence artificial neural network behavior bioinformatics biology classification intelligence molecular biology protein structure

Editors and affiliations

  • David J. Livingstone
    • 1
  1. 1.ChemQuestUnited KingdomUK

Bibliographic information

  • DOI
  • Copyright Information Humana Press 2009
  • Publisher Name Humana Press
  • eBook Packages Springer Protocols
  • Print ISBN 978-1-58829-718-1
  • Online ISBN 978-1-60327-101-1
  • Series Print ISSN 1064-3745
  • Series Online ISSN 1940-6029
  • Buy this book on publisher's site
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