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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