Automated Taxon Identification in Systematics (eBook, PDF)

Theory, Approaches and Applications
Redaktion: Macleod, Norman

• Format: PDF

Produktbeschreibung

The automated identification of biological objects or groups has been a dream among taxonomists and systematists for centuries. However, progress in designing and implementing practical systems for fully automated taxon identification has been frustratingly slow. Regardless, the dream has never died. Recent developments in computer architectures an

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 368
• Erscheinungstermin: 23. Juli 2007
• Englisch
• ISBN-13: 9781420008074
• Artikelnr.: 42765712

Autorenporträt

Norman MacLeod

Inhaltsangabe

Introduction. The Need for Automated Approaches to Species Identification.
Is Automated Species Identification Feasible? Natural Object Recognition:
Machines Vs. Humans. Homology and Morphometrics: An Old Theme Revisited.
Plastic Self-Organizing Maps. Decision Trees: A Machine-learning
Methodology to Analyze the Relationship between Skeletal Morphology and
Ecological Adaptations. DAISY: A Practical Computer Based Tool for
Semi-Automated Species Identification. Introducing SPIDA-web: An Automated
Identification System for Biological Species. Automated Extraction and
Analysis of Morphological Features for Species Identification. Pattern
Recognition for Ecological Science and Environmental Monitoring.
Identification of Botanical Taxa using Artificial Neural Networks. Use of
Neural Nets in Identification of Spheniscid Species. Drawing the Line: the
Differentiation Between Morphological Plasticity and Interspecific
Variation. Summary and Prospectus.