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Ecological Informatics: Scope, Technques and Applications: Scope, Techniques and Applications
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Ecological Informatics: Scope, Technques and Applications: Scope, Techniques and Applications - nouveau livre

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… Plus…

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Ecological Informatics: Scope, Techniques and Applications - edition reliée, livre de poche

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… Plus…

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Ecological Informatics: Scope, Techniques and Applications - nouveau livre

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… Plus…

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Recknagel, Friedrich:
Ecological Informatics : Scope, Techniques and Applications - livre d'occasion

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 - Friedrich Recknagel
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Friedrich Recknagel:
Ecological Informatics - livre d'occasion

ISBN: 9783540283836

Livre, [PU: Springer, Berlin/Heidelberg]

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Détails sur le livre
Ecological Informatics: Scope, Technques and Applications: Scope, Techniques and Applications

Ecological Informatics promotes interdisciplinary research between ecology and computer science on elucidation of principles of information processing in ecosystems, ecological sustainability by informed decision making, and bio-inspired computation. The 2nd edition of the book consolidates the scope, concepts, and techniques of this newly emerging discipline by a new preface and additional chapters on cellular automata, qualitative reasoning, hybrid evolutionary algorithms and artificial neural networks. It illustrates numerous applications of Ecological Informatics for aquatic and terrestrial ecosystems, image recognition at micro- and macro-scale as well as computer hardware design. Case studies focus on applications of artificial neural networks, evolutionary computation, cellular automata, adaptive agents, fuzzy logic as well as qualitative reasoning. The 2nd edition of the book includes an index and a CD with novel evolutionary algorithms for the discovery of multiple nonlinear functions and rule sets as well as parameter optimisation in complex ecological data.

Informations détaillées sur le livre - Ecological Informatics: Scope, Technques and Applications: Scope, Techniques and Applications


EAN (ISBN-13): 9783540283836
ISBN (ISBN-10): 3540283838
Version reliée
Date de parution: 2006
Editeur: Springer Verlag
496 Pages
Poids: 1,042 kg
Langue: eng/Englisch

Livre dans la base de données depuis 2007-03-29T15:29:56+02:00 (Zurich)
Page de détail modifiée en dernier sur 2023-03-04T13:44:20+01:00 (Zurich)
ISBN/EAN: 3540283838

ISBN - Autres types d'écriture:
3-540-28383-8, 978-3-540-28383-6
Autres types d'écriture et termes associés:
Auteur du livre: recknagel friedrich, friedrich reck, his friedrich, friedrich both
Titre du livre: understanding ecology, technique understanding, scope, ecological applications


Données de l'éditeur

Auteur: Friedrich Recknagel
Titre: Ecological Informatics - Scope, Techniques and Applications
Editeur: Springer; Springer Berlin
496 Pages
Date de parution: 2006-02-13
Berlin; Heidelberg; DE
Imprimé / Fabriqué en
Poids: 0,961 kg
Langue: Anglais
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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