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Artificial Neural Networks

Methods and Applications

  • Book
  • © 2009

Overview

Editors:
  1. David J. Livingstone

    1. ChemQuest, United Kingdom, UK

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  • 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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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.

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Keywords

Table of contents (12 protocols)

  1. Front Matter

    Pages i-x
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  2. Artificial Neural Networks in Biology and Chemistry—The Evolution of a New Analytical Tool

    • Hugh M. Cartwright
    Pages 1-13

  3. Overview of Artificial Neural Networks

    • Jinming Zou, Yi Han, Sung-Sau So
    Pages 14-22

  4. Bayesian Regularization of Neural Networks

    • Frank Burden, Dave Winkler
    Pages 23-42

  5. Kohonen and Counterpropagation Neural Networks Applied for Mapping and Interpretation of IR Spectra

    • Marjana Novic
    Pages 43-58

  6. Artificial Neural Network Modeling in Environmental Toxicology

    • James Devillers
    Pages 59-77

  7. Neural Networks in Analytical Chemistry

    • Mehdi Jalali-Heravi
    Pages 78-118

  8. Application of Artificial Neural Networks for Decision Support in Medicine

    • Brendan Larder, Dechao Wang, Andy Revell
    Pages 119-132

  9. Neural Networks in Building QSAR Models

    • Igor I. Baskin, Vladimir A. Palyulin, Nikolai S. Zefirov
    Pages 133-154

  10. Peptide Bioinformatics- Peptide Classification Using Peptide Machines

    • Zheng Rong Yang
    Pages 155-179

  11. Associative Neural Network

    • Igor V. Tetko
    Pages 180-197

  12. Neural Networks Predict Protein Structure and Function

    • Marco Punta, Burkhard Rost
    Pages 198-225

  13. The Extraction of Information and Knowledge from Trained Neural Networks

    • David J. Livingstone, Antony Browne, Raymond Crichton, Brian D. Hudson, David Whitley, Martyn G. Ford
    Pages 226-243

  14. Back Matter

    Pages 249-254
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Editors and Affiliations

  • 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

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