| Description |
1 online resource |
| Series |
[ProQuest Ebook Central] |
|
[ProQuest Ebook Central]
|
| 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 |
| 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 recognition at micro and macro scale. Case studies focus on applications of artificial neural networks, genetic algorithms, fuzzy logic and adaptive agents to current ecological management issues such as toxic algal blooms, eutrophication, habitat degradation, conservation of biodiversity and sustainable fishery |
| Bibliography |
Includes bibliographical references |
| Notes |
UofL: Multi-user access (3 concurrent users) |
|
Print version record |
| Subject |
Ecology -- Computer simulation
|
|
Ecology -- Computer simulation
|
| Form |
Electronic book
|
| Author |
Recknagel, Friedrich, 1950-
|
| LC no. |
2002070764 |
| ISBN |
3540284265 |
|
9783540284260 |
|
9783662051504 |
|
3662051508 |
|
9783662051528 |
|
3662051524 |
|
6610618887 |
|
9786610618880 |
|
