Ecological Informatics: Scope, Technques and Applications: Scope, Techniques and Applications - nuovo libro

EAN (ISBN-13): 9783540283836
ISBN (ISBN-10): 3540283838
Copertina rigida
Anno di pubblicazione: 2006
Editore: Springer Verlag
496 Pagine
Peso: 1,042 kg
Lingua: eng/Englisch

Libro nella banca dati dal 2007-03-29T15:29:56+02:00 (Rome)
Pagina di dettaglio ultima modifica in 2023-03-04T13:44:20+01:00 (Rome)
ISBN/EAN: 9783540283836

ISBN - Stili di scrittura alternativi:
3-540-28383-8, 978-3-540-28383-6
Stili di scrittura alternativi e concetti di ricerca simili:
Autore del libro : recknagel friedrich, friedrich reck, his friedrich, friedrich both
Titolo del libro: understanding ecology, technique understanding, scope, ecological applications

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Dati dell'editore

Autore: Friedrich Recknagel
Titolo: Ecological Informatics - Scope, Techniques and Applications
Editore: Springer; Springer Berlin
496 Pagine
Anno di pubblicazione: 2006-02-13
Berlin; Heidelberg; DE
Stampato / Fatto in
Peso: 0,961 kg
Lingua: Inglese
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