Artificial Neural Networks in Biological and Environmental Analysis

Based on our knowledge of the functioning human brain, ANNs (artificial neural networks) serve as a modern paradigm for computing. Drawing on the author's substantial experience, this book provides a comprehensive introduction and practical guide to the development, optimization, and applicatio...

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Bibliographische Detailangaben
1. Verfasser: Hanrahan, Grady
Format: E-Book Buch
Sprache:Englisch
Veröffentlicht: Boca Raton, Fla CRC Press 2011
Taylor & Francis Group
Ausgabe:1
Schriftenreihe:Analytical Chemistry
Schlagworte:
Artificial intelligence
Artificial intelligence > Biological applications
Biology
Biology > Data processing
Environmental engineering
Environmental engineering > Data processing
MATHEMATICS / Probability & Statistics / General bisacsh
Neural networks (Computer science)
Neural networks (Computer science) > Scientific applications
SCIENCE / Chemistry / Analytic bisacsh
SCIENCE / Chemistry / General bisacsh
Scientific applications
Kohonen’s Som
St Em
Log Sigmoid Transfer Function
Boltzmann Machines
Data Sets
Neural Network Model Development
RNNs
HCV NS3
Fuzzy Set
Fuzzy Rules
Bayesian Regularization
MC
Radial Basis Function
Model Selection
Membership Function
GA
Linear Transfer Function
Single Layer Perceptrons
Neural Network Models
Fuzzy Inference System
RBFNNs
Neural Network
QSAR
American Chemical Society
Permutation Encoding
ISBN:9781439812587, 1439812586
Online-Zugang:Volltext
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Inhaltsangabe:
  • Front Cover -- Contents -- Foreword -- Preface -- Acknowledgments -- The Author -- Guest Contributors -- Glossary of Acronyms -- Chapter 1: Introduction -- Chapter 2: Network Architectures -- Chapter 3: Model Design and Selection Considerations -- Chapter 4: Intelligent Neural Network Systems and Evolutionary Learning -- Chapter 5: Applications in Biological and Biomedical Analysis -- Chapter 6: Applications in Environmental Analysis -- Appendix I: Review of Basic Matrix Notation and Operations -- Appendix II: Cytochrome P450 (CYP450) Isoform Data Set Used in Michielan et al. (2009) -- Appendix III: A 143-Member VOC Data Set and Corresponding Observed and Predicted Values of Air-to-Blood Partition Coefficients -- Back Cover