1.

Record Nr.

UNINA9910791559603321

Autore

Hanrahan Grady

Titolo

Artificial neural networks in biological and environmental analysis / / Grady Hanrahan

Pubbl/distr/stampa

Boca Raton, Fla. : , : CRC Press, , 2011

ISBN

0-429-14892-5

1-283-00454-2

9786613004543

1-4398-1259-4

Edizione

[1st ed.]

Descrizione fisica

1 online resource (206 p.)

Collana

Analytical chemistry series

Classificazione

MAT029000SCI013000SCI013010

Disciplina

570.285/63

Soggetti

Artificial intelligence - Biological applications

Biology - Data processing

Environmental engineering - Data processing

Neural networks (Computer science) - Scientific applications

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Front cover; Dedication; 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 andCorresponding Observed andPredicted Values of Air-to-Blood Partition CoefficientsColor Insert; Back cover

Sommario/riassunto

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--