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Ecological informatics: understanding ecology by biologically-inspired computation [Libro electrónico] / editor: Friedrich Recknagel

Recknagel, Friedrich [editor].
Tipo de material: Libro en línea Libro en línea Editor: New York, New York, United States: Springer, c2003Descripción: xxviii, 398 páginas : ilustraciones ; 24 centímetros.ISBN: 3540434550; 9783662051528 (Print); 9783662051504 (Online).Tema(s): Ecology -- Computer simulationNota de acceso: Disponible para usuarios de ECOSUR con su clave de acceso Nota de bibliografía: Incluye bibliografía Número de sistema: 56510Contenidos:Mostrar Resumen:
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Ecological Informatics is defined as the design and application of computational techniques for ecological analysis, synthesis, forecasting and management. The book provides an introduction to the scope, concepts and techniques of this newly emerging discipline. It illustrates numerous applications of Ecological Informatics for stream systems, river systems, freshwater lakes and marine systems as well as image recognition at micro and macro scale. Case studies focus on applications of artificial neural networks, genetic algorithms, fuzzy logic and adaptive agents to current ecological management issues such as toxic algal blooms, eutrophication, habitat degradation, conservation of biodiversity and sustainable fishery.

Recurso en línea: http://link.springer.com/openurl?genre=book&isbn=978-3-662-05152-8
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Libros Biblioteca Electrónica
Recursos en línea (RE) 		Acervo General Recurso digital ECO400565103440

Incluye bibliografía

Chapter 1. Introduction.. Chapter 2. Prediction and elucidation of stream ecosystems.. Chapter 3. Prediction and elucidation of river ecosystems.. Chapter 4. Prediction and elucidation of lake and marine ecosystems.. Chapter 5. Classification of ecological images at micro and macro scale.. Bibliography

Disponible para usuarios de ECOSUR con su clave de acceso

Ecological Informatics is defined as the design and application of computational techniques for ecological analysis, synthesis, forecasting and management. The book provides an introduction to the scope, concepts and techniques of this newly emerging discipline. It illustrates numerous applications of Ecological Informatics for stream systems, river systems, freshwater lakes and marine systems as well as image recognition at micro and macro scale. Case studies focus on applications of artificial neural networks, genetic algorithms, fuzzy logic and adaptive agents to current ecological management issues such as toxic algal blooms, eutrophication, habitat degradation, conservation of biodiversity and sustainable fishery. eng

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