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Artificial neural networks

Overview of attention for book
Cover of 'Artificial neural networks'

Table of Contents

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    Book Overview
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    Chapter 1 Artificial Neural Networks in Biology and Chemistry—The Evolution of a New Analytical Tool
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    Chapter 2 Overview of Artificial Neural Networks
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    Chapter 3 Bayesian Regularization of Neural Networks
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    Chapter 4 Kohonen and Counterpropagation Neural Networks Applied for Mapping and Interpretation of IR Spectra
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    Chapter 5 Artificial Neural Network Modeling in Environmental Toxicology
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    Chapter 6 Neural Networks in Analytical Chemistry
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    Chapter 7 Application of Artificial Neural Networks for Decision Support in Medicine
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    Chapter 8 Neural Networks in Building QSAR Models
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    Chapter 9 Peptide bioinformatics: peptide classification using peptide machines.
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    Chapter 10 Associative Neural Network
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    Chapter 11 Neural Networks Predict Protein Structure and Function
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    Chapter 12 The Extraction of Information and Knowledge from Trained Neural Networks
Attention for Chapter 3: Bayesian Regularization of Neural Networks
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Citations

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99 Dimensions

Readers on

mendeley
380 Mendeley
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1 CiteULike
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Chapter title
Bayesian Regularization of Neural Networks
Chapter number 3
Book title
Artificial Neural Networks
Published in
Methods in molecular biology, January 2008
DOI 10.1007/978-1-60327-101-1_3
Pubmed ID
19065804
Book ISBNs
978-1-58829-718-1, 978-1-60327-101-1
Authors

Burden, Frank, Winkler, Dave, Frank Burden, Dave Winkler

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 380 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 <1%
United States 1 <1%
Unknown 377 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 68 18%
Student > Bachelor 49 13%
Student > Master 39 10%
Researcher 33 9%
Student > Doctoral Student 22 6%
Other 52 14%
Unknown 117 31%
Readers by discipline Count As %
Engineering 111 29%
Computer Science 25 7%
Chemistry 17 4%
Chemical Engineering 14 4%
Agricultural and Biological Sciences 13 3%
Other 53 14%
Unknown 147 39%

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