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Artificial neural networks in biological and environmental analysis [electronic resource] / Grady Hanrahan.

By: Material type: TextTextSeries: Analytical chemistry series (CRC Press)Publication details: Boca Raton, Fla. : CRC Press, 2011.Edition: 1st edDescription: xxii, 188 p. : illISBN:
  • 9781439812594 (ebook : PDF)
Subject(s): Genre/Form: Additional physical formats: No titleOnline resources: Available additional physical forms:
  • Also available in print edition.
Contents:
ch. 1. Introduction -- ch. 2. Network architectures -- ch. 3. Model design and selection considerations -- ch. 4. Intelligent neural network systems and evolutionary learning -- ch. 5. Applications in biological and biomedical analysis -- ch. 6. Applications in environmental analysis.
Summary: "Drawing on the experience and knowledge of a practicing professional, this book provides a comprehensive introduction and practical guide to the development, optimization, and application of artificial neural networks (ANNs) in modern environmental and biological analysis. Based on our knowledge of the functioning human brain, ANNs serve as a modern paradigm for computing. Presenting basic principles of ANNs together with simulated biological and environmental data sets and real applications in the field, this volume helps scientists comprehend the power of the ANN model to explain physical concepts and demonstrate complex natural processes"-- Provided by publisher.
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"Drawing on the experience and knowledge of a practicing professional, this book provides a comprehensive introduction and practical guide to the development, optimization, and application of artificial neural networks (ANNs) in modern environmental and biological analysis. Based on our knowledge of the functioning human brain, ANNs serve as a modern paradigm for computing. Presenting basic principles of ANNs together with simulated biological and environmental data sets and real applications in the field, this volume helps scientists comprehend the power of the ANN model to explain physical concepts and demonstrate complex natural processes"-- Provided by publisher.

Includes bibliographical references and index.

ch. 1. Introduction -- ch. 2. Network architectures -- ch. 3. Model design and selection considerations -- ch. 4. Intelligent neural network systems and evolutionary learning -- ch. 5. Applications in biological and biomedical analysis -- ch. 6. Applications in environmental analysis.

Also available in print edition.

Mode of access: World Wide Web.

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