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Artificial Neural Networks: Methods and Applications Book

Artificial Neural Networks: Methods and Applications
Artificial Neural Networks: Methods and Applications, In this book, international 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 example, Artificial Neural Networks: Methods and Applications has a rating of 4 stars
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Artificial Neural Networks: Methods and Applications, In this book, international 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 example, Artificial Neural Networks: Methods and Applications
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  • Artificial Neural Networks: Methods and Applications
  • Written by author David J. Livingstone
  • Published by Springer-Verlag New York, LLC, November 2010
  • In this book, international 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 example
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Authors

Chapter 1. Artificial Neural Networks in Biology and Chemistry - the Evolution of a new Analytical Tool

Hugh M. Cartwright

Chapter 2. Overview of Artificial Neural Networks

Jinming Zou, Yi Han, and Sung-Sau So

Chapter 3. Bayesian Regularization of Neural Networks

Frank Burden and Dave Winkler

Chapter 4. Kohonen and Counter-propagation Neural Networks Applied for Mapping and Interpretation of IR Spectra

Marjana Novic

Chapter 5. Artificial Neural Network Modeling in Environmental Toxicology

James Devillers

Chapter 6. Neural Networks in Analytical Chemistry

Mehdi Jalali-Heravi

Chapter 7. Application of Artificial Neural Networks for Decision Support in Medicine

Brendan Larder, Dechao Wang and Andy Revell

Chapter 8. Neural Networks in Building QSAR Models

Igor I. Baskin, Vladimir A. Palyulin, and Nikolai S. Zefirov

Chapter 9. Peptide Bioinformatics- Peptide Classification Using Peptide Machines

Zheng Rong Yang

Chapter 10. Associative Neural Network

Igor V. Tetko

Chapter 11. Neural Networks Predict Protein Structure and Function

Marco Punta and Burkhard Rost

Chapter 12. The Extraction of Information and Knowledge from Trained Neural Networks

David J. Livingstone, Antony Browne, Raymond Crichton, Brian D. Hudson, David Whitley and Martyn G. Ford


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Artificial Neural Networks: Methods and Applications, In this book, international 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 example, Artificial Neural Networks: Methods and Applications

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Artificial Neural Networks: Methods and Applications, In this book, international 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 example, Artificial Neural Networks: Methods and Applications

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