Artificial Intelligence and Complex Dynamical Systems

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.

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• Biofísica
• A física quântica (mecânica quântica e teoria quântica de campos)
• Aprendizagem mecânica
• Cibernética e teoria dos sistemas
• Epidemiologia e estatística médica

Discrete nonlinear Schroedinger equation;Elliptic functions with machine learning;Machine learning for complex systems;Covid-19 epidemiology;Chaos with machine learning;Solitons with machine learning;Intrinsic localized modes;Chimeras with machine learning;Artificial intelligence in complex systems;Heart wave propagation with machine learning