LNAI 2903 Applications of the Ecological Visualization System Using Artificial Neural Network and Mathematical Analysis 1st Edition by Bok Suk Shin, Cheol Ki Kim, Eui Young Cha ISBN 9783540200574 354020057X

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Product details:
ISBN 10: 354020057X
ISBN 13: 9783540200574
Author: Bok Suk Shin, Cheol Ki Kim, Eui Young Cha
 

LNAI 2903 Applications of the Ecological Visualization System Using Artificial Neural Network and Mathematical Analysis 1st Edition Table of contents:

1. Foundations of Ecological Systems

   • Basic Principles of Ecology and Environmental Systems
   • Key Ecological Models and Their Applications
   • The Complexity of Ecological Interactions and Environmental Variables
   • Challenges in Ecological Modeling and Prediction

2. Artificial Neural Networks in Ecological Applications

   • Introduction to Artificial Neural Networks (ANNs)
   • Structure and Function of Neural Networks
   • Types of Neural Networks Used in Ecology: Feedforward, Recurrent, and Convolutional Networks
   • Training Neural Networks for Ecological Modeling

3. Mathematical Analysis in Ecological Modeling

   • Mathematical Modeling Approaches in Ecology
   • Differential Equations and Dynamical Systems in Ecological Models
   • Stability and Sensitivity Analysis of Ecological Systems
   • Integrating Mathematical Methods with Ecological Visualization

4. Ecological Visualization Systems

   • Overview of Visualization Techniques in Ecology
   • Visualization Tools for Ecological Data and Results
   • Graphical Representation of Ecological Models and Simulations
   • Interactive Visualization for Decision Support in Ecology

5. Integrating Artificial Neural Networks with Ecological Visualization

   • Combining Neural Networks and Visualization Systems
   • Real-Time Ecological Predictions and Their Visualization
   • Use of ANNs to Enhance the Understanding of Ecological Dynamics
   • Case Studies: Ecological Visualization with Predictive Models

6. Applications of Ecological Visualization Using ANNs

   • Ecological Monitoring and Environmental Assessment
   • Predicting Climate Change Impacts on Ecological Systems
   • Applications in Conservation Biology and Species Habitat Modeling
   • Ecological Risk Assessment and Environmental Management

7. Mathematical Analysis for Optimizing Ecological Systems

   • Optimization Techniques in Ecological Models
   • Mathematical Approaches for Ecological Resource Management
   • Sensitivity and Uncertainty Analysis in Ecological Forecasting
   • Mathematical Insights for Sustainable Environmental Practices

8. Case Studies of Ecological Visualization and Prediction

   • Case Study 1: Forest Ecosystem Dynamics and Climate Change Prediction
   • Case Study 2: Biodiversity Conservation and Habitat Modeling
   • Case Study 3: Marine Ecosystem and Fishery Management
   • Case Study 4: Urban Ecology and Green Space Management

9. Challenges and Future Directions

• Limitations of Current Ecological Visualization Systems
• Improving Accuracy and Efficiency in Ecological Predictions
• Future Trends in Artificial Intelligence and Ecology
• Ethical and Societal Considerations in Ecological Modeling and Visualization

11. Conclusion

• Summary of Key Contributions and Findings
• The Importance of Interdisciplinary Approaches in Ecological Research
• Closing Thoughts on the Future of Ecological Visualization and AI in Environmental Science

12. Appendices

• Mathematical Foundations and Algorithms for Ecological Modeling
• Neural Network Training Techniques and Tools
• Data Sets and Resources for Ecological Research
• Glossary of Terms in Ecology, Neural Networks, and Mathematical Analysis

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