Artificial Intelligence and Complex Dynamical Systems
This book serves as a comprehensive introduction to nonlinear complex systems through the application of machine learning methods. Artificial intelligence (AI) has affected the foundations of scientific discovery, and can therefore lend itself to developing a better understanding of the unpredictabl...
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| Formato: | Electrónico eBook |
| Idioma: | inglés |
| Publicado: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| Edición: | 1st ed. 2025. |
| Series: | Understanding Complex Systems,
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| Subjects: | |
| Acceso en liña: | https://doi.org/10.1007/978-3-031-81946-9 |
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Table of Contents:
- Chapter 1. Complex systems and machine learning
- Chapter 2. Regression and Classification
- Chapter 3. Data manipulation techniques
- Chapter 4. Artificial neurons and deep learning
- Chapter 5. Powerful neural network architectures
- Chapter 6. Autoencoders and more
- Chapter 7. The Discrete Nonlinear Schr¨odinger Equation
- Chapter 8. Learning Analytical Solutions
- Chapter 9. The targeted energy transfer model
- Chapter 10. Dynamical embedding with autoencoders
- Chapter 11. Chimeras
- Chapter 12. Branching
- Chapter 13. Discrete breathers
- Chapter 14. Quantum targeted transfer with machine learning
- Chapter 15. Learning quantum systems
- Chapter 16. Action potential propagation in the heart
- Chapter 17. Machine learning cardiology
- Chapter 18. Epidemiology with physics informed machine learning
- Chapter 19. Foundations
- Chapter 20. Computational complexity and the butterfly effect.