Ecological Informatics : Scope, Techniques and Applications /
| Autor Corporativo: | |
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| Otros Autores: | |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2006.
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| Edición: | 2nd ed. 2006. |
| Materias: |
Tabla de Contenidos:
- 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.