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100301s2006 gw | s |||| 0|eng d |
| 020 |
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|a 9783540284260
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| 024 |
7 |
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|a 10.1007/3-540-28426-5
|2 doi
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| 040 |
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|a Sistema de Bibliotecas del Tecnológico de Costa Rica
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| 245 |
1 |
0 |
|a Ecological Informatics :
|b Scope, Techniques and Applications /
|c edited by Friedrich Recknagel.
|
| 250 |
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|a 2nd ed. 2006.
|
| 260 |
# |
# |
|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2006.
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| 300 |
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|a XXXVI, 496 p. :
|b online resource.
|
| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 505 |
0 |
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|a 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.
|
| 650 |
|
0 |
|a Environmental sciences.
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| 650 |
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0 |
|a Ecology .
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| 650 |
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0 |
|a Earth sciences.
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| 650 |
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0 |
|a Oceanography.
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| 650 |
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0 |
|a Bioinformatics .
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| 650 |
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0 |
|a Computational biology .
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| 650 |
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0 |
|a Geoecology.
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| 650 |
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0 |
|a Environmental geology.
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| 650 |
1 |
4 |
|a Math. Appl. in Environmental Science.
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| 650 |
2 |
4 |
|a Ecology.
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| 650 |
2 |
4 |
|a Earth Sciences, general.
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| 650 |
2 |
4 |
|a Oceanography.
|
| 650 |
2 |
4 |
|a Computer Appl. in Life Sciences.
|
| 650 |
2 |
4 |
|a Geoecology/Natural Processes.
|
| 700 |
1 |
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|a Recknagel, Friedrich.
|e editor.
|
| 710 |
2 |
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|a SpringerLink (Online service)
|
| 773 |
0 |
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|t Springer eBooks
|