Artificial Neural Networks

"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: Methods and Applications, 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: Methods and Applications is an excellent guide to this accelerating technological field of study."--BOOK JACKET.

Preface	p. v
Contributors	p. ix
Artificial Neural Networks in Biology and Chemistry: The Evolution of a New Analytical Tool	p. 1
Overview of Artificial Neural Networks	p. 15
Bayesian Regularization of Neural Networks	p. 25
Kohonen and Counterpropagation Neural Networks Applied for Mapping and Interpretation of IR Spectra	p. 45
Artificial Neural Network Modeling in Environmental Toxicology	p. 61
Neural Networks in Analytical Chemistry	p. 81
Application of Artificial Neural Networks for Decision Support in Medicine	p. 123
Neural Networks in Building QSAR Models	p. 137
Peptide Bioinformatics: Peptide Classification Using Peptide Machines	p. 159
Associative Neural Network	p. 185
Neural Networks Predict Protein Structure and Function	p. 203
The Extraction of Information and Knowledge from Trained Neural Networks	p. 231
Index	p. 249
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Artificial Neural Networks

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