Artificial Neural Networks: Methods and Applications - Methods in Molecular Biology 2009 edition

Marc Notes: Includes bibliographical references and index. Table of Contents: Preface -- Contributors -- 1. Artificial Neural Networks in Biology and Chemistry: The Evolution of a New Analytical Tool / Hugh M. Cartwright -- 2. Overview of Artificial Neural Networks / Jinming Zou, Yi Han, Sung-Sau So -- 3. Bayesian Regularization of Neural Networks / Frank Burden, Dave Winkler -- 4. Kohonen and Counterpropagation Neural Networks Applied for Mapping and Interpretation of IR Spectra / Marjana Novic -- 5. Artificial Neural Network Modeling in Environmental Toxicology / James Devillers -- 6. Neural Networks in Analytical Chemistry / Mehdi Jalali-Heravi -- 7. Application of Artificial Neural Networks for Decision Support in Medicine / Brendan Larder, Dechao Wang, Andy Revell -- 8. Neural Networks in Building QSAR Models / Igor I. Baskin, Vladimir A. Palyulin, Nikolai S. Zefirov -- 9. Peptide Bioinformatics: Peptide Classification Using Peptide Machines / Zheng Rong Yang -- 10. Associative Neural Network / Igor V. Tetko -- 11. Neural Networks Predict Protein Structure and Function / Marco Punta, Burkhard Rost -- 12. 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 -- Index. Publisher Marketing: 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 examples of the application of ANN to chemistry and biology. Review Citations:

Scitech Book News 03/01/2009 pg. 27 (EAN 9781588297181, Hardcover)