Ecological Informatics Scope, Techniques and Applications /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Recknagel, Friedrich (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006.
• Έκδοση: 2nd Edition.
• Θέματα: Environment.; Earth sciences.; Oceanography.; Bioinformatics.; Computational biology.; Ecology.; Geoecology.; Environmental geology.; Environmental sciences.; Math. Appl. in Environmental Science.; Earth Sciences, general.; Computer Appl. in Life Sciences.; Geoecology/Natural Processes.

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 scop...

Πίνακας περιεχομένων:

• 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.