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Ecological informatics : understanding ecology by biologically-inspired computation

Author: Friedrich Recknagel
Publisher: Berlin ; New York : Springer, ©2003.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
Ecological Informatics is defined as the design and application of computational techniques for ecological analysis, synthesis, forecasting and management. The book provides an introduction to the scope, concepts and techniques of this newly emerging discipline. It illustrates numerous applications of Ecological Informatics for stream systems, river systems, freshwater lakes and marine systems as well as image  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Ecological informatics.
Berlin ; New York : Springer, ©2003
(DLC) 2002070764
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Friedrich Recknagel
ISBN: 3540284265 9783540284260 9783662051504 3662051508 9783662051528 3662051524 6610618887 9786610618880
OCLC Number: 133157171
Description: 1 online resource
Contents: Cover --
Contents --
Part I: Introduction --
1. Ecological Applications of Fuzzy Logic --
1.1 Fuzzy Sets and Fuzzy Logic --
1.2 Fuzzy Approach to Ecological Modelling and Data Analysis --
1.3 Fuzzy Classification: A Fuzzy Clustering Approach --
1.4 Fuzzy Regionalisation: A Fuzzy Kriging Approach --
1.5 Fuzzy Knowledge-Based Modelling --
1.6 Conclusions --
References --
2. Ecological Applications of Qualitative Reasoning --
2.1 Introduction --
2.2 Why Use QR for Ecology? --
2.3 What is Qualitative Reasoning? --
2.4 Tools and Software --
2.5 Examples of QR-based Ecological Modelling --
2.6 Conclusion --
References --
3. Ecological Applications of Non-Supervised Artificial Neural Networks --
3.1 Introduction --
3.2 How to Compute a Self-Organizing Map (SOM) with an Abundance Dataset? --
3.3 How to Use a Self-Organizing Map with an Abundance Dataset? --
3.4 Discussion --
3.5 Conclusion --
References --
4. Ecological Applications of Genetic Algorithms --
4.1 Introduction --
4.2 Ecology and Ecological Modelling --
4.3 Genetic Algorithm Design Details --
4.4 Applications of Genetic Algorithms to Ecological Modelling --
4.5 Predicting the Future with Genetic Algorithms --
4.6 The Next Generation: Hybrids Genetic Algorithms --
References --
5. Ecological Applications of Evolutionary Computation --
5.1 Introduction --
5.2 Ecological Modelling --
5.3 Evolutionary Computation --
5.4 Ecological Modelling and Evolutionary Algorithms --
5.5 Conclusion --
References --
6. Ecological Applications of Adaptive Agents --
6.1 Introduction --
6.2 Adaptive Agents Framework --
6.3 Individual-Based Adaptive Agents --
6.4 State Variable-Based Adaptive Agents --
6.5 Conclusions --
Acknowledgements --
References --
7. Bio-Inspired Design of Computer Hardware by Self-Replicating Cellular Automata --
7.1 Introduction --
7.2 Cellular Automata --
7.3 Von Neumann's Universal Constructor --
7.4 Self-Replicating Loops --
7.5 Self-Replication in the Embryonics Project --
7.6 Conclusions --
Acknowledgements --
References --
Part II: Prediction and Elucidation of Stream Ecosystems --
8. Development and Application of Predictive River Ecosystem Models Based On Classification Trees and Artificial Neural Networks --
8.1 Introduction --
8.2 Study Sites, Data Sources and Modelling Techniques --
8.3 Results --
8.4 Discussion --
Acknowledgements --
References --
9. Modelling Ecological Interrelations in Running Water Ecosystems with Artificial Neural Networks --
9.1 Introduction --
9.2 Materials and Methods --
9.3 Data Exploration with Unsupervised Learning Systems --
9.4 Correlations and Predictions with Supervised Learning Systems --
9.5 Assessment of Model Quality and Visualisation Possibilities: Hybrid Networks --
9.6 Conclusions --
Acknowledgements --
Refe.
Responsibility: Friedrich Recknagel (ed.).

Abstract:

Ecological informatics is defined as the design and application of computational techniques for ecological analysis, synthesis, forecasting and management. The text introduces the scope, concepts and  Read more...

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