Keywords:
Artificial intelligence -- Biological applications.
;
Biology -- Data processing.
;
Environmental engineering -- Data processing.
;
Neural networks (Computer science) -- Scientific applications.
;
Electronic books.
Description / Table of Contents:
ForewordPrefaceAcknowledgmentsAuthor BiographyGuest ContributorsGlossary of AcronymsIntroductionArtificial Intelligence: Competing Approaches or Hybrid Intelligent Systems?Neural Networks: An Introduction and Brief HistoryNeural Network Application Areas Concluding Remarks References Network ArchitecturesNeural Network Connectivity and Layer Arrangement Feedforward Neural Networks Recurrent Neural NetworksConcluding Remarks References Model Design and Selection ConsiderationsIn Search of the Appropriate ModelData AcquisitionData Preprocessing and Transformation ProcessesFeature Selection Data Subset SelectionNeural Network Training Model SelectionModel Validation and Sensitivity Analysis Concluding Remarks References Intelligent Neural Network Systems and Evolutionary LearningHybrid Neural SystemsAn Introduction to Genetic AlgorithmsAn Introduction to Fuzzy Concepts and FuzzyInference SystemsThe Neural-Fuzzy Approach Hybrid Neural Network-Genetic Algorithm Approach Concluding RemarksReferences Applications in Biological and Biomedical AnalysisIntroductionApplicationsConcluding Remarks References Applications in Environmental AnalysisIntroduction Applications Concluding Remarks References Appendix I: Review of Basic Matrix Notation and OperationsAppendix 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 CoefficientsIndex.
Type of Medium:
Online Resource
Pages:
1 online resource (206 pages)
Edition:
1st ed.
ISBN:
9781439812594
Series Statement:
Analytical Chemistry Series
URL:
https://ebookcentral.proquest.com/lib/geomar/detail.action?docID=665580
DDC:
570.285/63
Language:
English
Note:
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.
