Artificial neural networks : methods and applications

Title:

Series:

Methods in molecular biology, 458

Publication Information:

Totowa, NJ : Humana Press, 2008

Physical Description:

ix, 254 p. : ill. ; 24 cm.

ISBN:

9781588297181

Subject Term:

Artificial neural networks

Added Author:

Livingstone, David J.

Available:*

Library	Item Barcode	Call Number	Material Type	Item Category 1	Status
Searching... PSZ JB	30000010199913	QA76.87 A74 2008	Open Access Book	Book	Searching... Unknown

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(tm) 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.

Hugh M. CartwrightJinming Zou and Yi Han and Sung-Sau SoFrank Burden and Dave WinklerMarjana NovicJames DevillersMehdi Jalali-HeraviBrendan Larder and Dechao Wang and Andy RevellIgor I. Baskin and Vladimir A. Palyulin and Nikolai S. ZefirovZheng Rong YangIgor V. TetkoMarco Punta and Burkhard RostDavid J. Livingstone and Antony Browne and Raymond Crichton and Brian D. Hudson and David Whitley and Martyn G. Ford

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

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