2006, ISBN: 9783540283836
a cura di: Recknagel, Friedrich, Springer Verlag, Copertina rigida, Auflage: 2, 496 Seiten, Publiziert: 2006-02-13T00:00:01Z, Produktgruppe: Libro, Hersteller-Nr.: biography, 2.12 kg, Inf… mais…
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2006, ISBN: 9783540283836
Springer, Gebundene Ausgabe, Auflage: 2nd ed. 2006, 532 Seiten, Publiziert: 2006-02-13T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: biography, 2.12 kg, Umweltwissenschaft, Naturwissens… mais…
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2006, ISBN: 9783540283836
Redactor: Recknagel, Friedrich, Springer, Tapa dura, Auflage: 2nd ed. 2006, 536 Seiten, Publiziert: 2006-02-13T00:00:01Z, Produktgruppe: Libro, Hersteller-Nr.: biography, 2.12 kg, Biologí… mais…
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ISBN: 9783540283836
Used - Good. Former Library book. Shows some signs of wear, and may have some markings on the inside., 2.5
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Ecological Informatics: Scope, Technques and Applications: Scope, Techniques and Applications - novo libro
2006, ISBN: 9783540283836
a cura di: Recknagel, Friedrich, Springer Verlag, Copertina rigida, Auflage: 2, 496 Seiten, Publiziert: 2006-02-13T00:00:01Z, Produktgruppe: Libro, Hersteller-Nr.: biography, 2.12 kg, Inf… mais…
2006, ISBN: 9783540283836
Springer, Gebundene Ausgabe, Auflage: 2nd ed. 2006, 532 Seiten, Publiziert: 2006-02-13T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: biography, 2.12 kg, Umweltwissenschaft, Naturwissens… mais…
2006
ISBN: 9783540283836
Redactor: Recknagel, Friedrich, Springer, Tapa dura, Auflage: 2nd ed. 2006, 536 Seiten, Publiziert: 2006-02-13T00:00:01Z, Produktgruppe: Libro, Hersteller-Nr.: biography, 2.12 kg, Biologí… mais…
ISBN: 9783540283836
Used - Good. Former Library book. Shows some signs of wear, and may have some markings on the inside., 2.5
ISBN: 9783540283836
Livre, [PU: Springer, Berlin/Heidelberg]
Dados bibliográficos do melhor livro correspondente
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Número ISBN: |
Dados detalhados do livro - Ecological Informatics: Scope, Technques and Applications: Scope, Techniques and Applications
EAN (ISBN-13): 9783540283836
ISBN (ISBN-10): 3540283838
Livro de capa dura
Ano de publicação: 2006
Editor/Editora: Springer Verlag
496 Páginas
Peso: 1,042 kg
Língua: eng/Englisch
Livro na base de dados desde 2007-03-29T14:29:56+01:00 (Lisbon)
Página de detalhes modificada pela última vez em 2023-03-04T12:44:20+00:00 (Lisbon)
Número ISBN/EAN: 3540283838
Número ISBN - Ortografia alternativa:
3-540-28383-8, 978-3-540-28383-6
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: recknagel friedrich, friedrich reck, his friedrich, friedrich both
Título do livro: understanding ecology, technique understanding, scope, ecological applications
Dados da editora
Autor: Friedrich Recknagel
Título: Ecological Informatics - Scope, Techniques and Applications
Editora: Springer; Springer Berlin
496 Páginas
Ano de publicação: 2006-02-13
Berlin; Heidelberg; DE
Impresso / Feito em
Peso: 0,961 kg
Língua: Inglês
235,39 € (DE)
241,99 € (AT)
242,00 CHF (CH)
Not available, publisher indicates OP
SA; Book with CD-ROM; Hardcover, Softcover / Sachbücher/Natur, Technik/Natur, Gesellschaft; Umwelt; Verstehen; optimization; fuzzy; terrestrial ecosystems; sustainability; plankton; ecosystem; classification; artificial neural network; environment; ecology; terrestrial ecosystem; automata; marine; algorithms; information processing; B; Math. Appl. in Environmental Science; Earth and Environmental Science; Ecology; Earth Sciences, general; Oceanography; Computer Appl. in Life Sciences; Geoecology/Natural Processes; Angewandte Mathematik; Ökologie, Biosphäre; Geowissenschaften; Ozeanographie (Meereskunde), Meere und Ozeane; Biologie, Biowissenschaften; Informationstechnik (IT), allgemeine Themen; Ökologie, Biosphäre; BB; BB; BC; EA
Ecological Applications of Fuzzy Logic.- Ecological Applications of Qualitative Reasoning.- Ecological Applications of Non-supervised Artificial Neural Networks.- Ecological Applications of Genetic Algorithms.- Ecological Applications of Evolutionary Computation.- Ecological Applications of Adaptive Agents.- Bio-Inspired Design of Computer Hardware by Self-Replicating Cellular Automata.- Prediction and Elucidation of Stream Ecosystems.- Development and Application of Predictive River Ecosystem Models Based on Classification Trees and Artificial Neural Networks.- Modelling Ecological Interrelations in Running Water Ecosystems with Artificial Neural Networks.- Non-linear Approach to Grouping, Dynamics and Organizational Informatics of Benthic Macroinvertebrate Communities in Streams by Artificial Neural Networks.- Elucidation of Hypothetical Relationships between Habitat Conditions and Macroinvertebrate Assemblages in Freshwater Streams by Artificial Neural Networks.- Prediction and Elucidation of River Ecosystems.- Prediction and Elucidation of Population Dynamics of the Blue-green Algae Microcystis aeruginosa and the Diatom Stephanodiscus hantzschii in the Nakdong River-Reservoir System (South Korea) by a Recurrent Artificial Neural Network.- An Evaluation of Methods for the Selection of Inputs for an Artificial Neural Network Based River Model.- Utility of Sensitivity Analysis by Artificial Neural Network Models to Study Patterns of Endemic Fish Species.- Prediction and Elucidation of Lake and Marine Ecosystems.- A Comparison between Neural Network Based and Multiple Regression Models for Chlorophyll-a Estimation.- Artificial Neural Network Approach to Unravel and Forecast Algal Population Dynamics of Two Lakes Different in Morphometry and Eutrophication.- Hybrid Evolutionary Algorithm for Rule Set Discovery in Time-Series Data to Forecast and Explain Algal Population Dynamics in Two Lakes Different in Morphometry and Eutrophication.- Multivariate Time Series Prediction of Marine Zooplankton by Artificial Neural Networks.- Classification of Fish Stock-Recruitment Relationships in Different Environmental Regimes by Fuzzy Logic with Bootstrap Re-sampling Approach.- Computational Assemblage of Ordinary Differential Equations for Chlorophyll-a Using a Lake Process Equation Library and Measured Data of Lake Kasumigaura.- Classification of Ecological Images at Micro and Macro Scale.- Identification of Marine Microalgae by Neural Network Analysis of Simple Descriptors of Flow Cytometric Pulse Shapes.- Age Estimation of Fish Using a Probabilistic Neural Network.- Pattern Recognition and Classification of Remotely Sensed Images by Artificial Neural Networks.The book provides numerous applications of ecological informatics to computational techniques for ecological analysis, synthesis and forecasting
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