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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| Coauteur: | |
| Formaat: | Elektronisch E-boek |
| Taal: | Engels |
| Gepubliceerd in: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| Editie: | 1st ed. 2025. |
| Reeks: | Understanding Complex Systems,
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| Onderwerpen: | |
| Online toegang: | https://doi.org/10.1007/978-3-031-81946-9 |
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| 100 | 1 | |a Tsironis, Giorgos. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Artificial Intelligence and Complex Dynamical Systems |h [electronic resource] / |c by Giorgos Tsironis. |
| 250 | |a 1st ed. 2025. | ||
| 264 | 1 | |a Cham : |b Springer Nature Switzerland : |b Imprint: Springer, |c 2025. | |
| 300 | |a 1 online resource (XIX, 296 p. 105 illus.). |b 98 illus. in color. | ||
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| 341 | 0 | |b Table of contents navigation |2 onix | |
| 341 | 0 | |b Single logical reading order |2 onix | |
| 341 | 0 | |b Short alternative textual descriptions |2 onix | |
| 341 | 0 | |b Use of colour is Not sole means of conveying information |2 onix | |
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| 341 | 0 | |b Next / Previous structural navigation |2 onix | |
| 341 | 0 | |b All Non-decorative content supports reading without sight |2 onix | |
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a Understanding Complex Systems, |x 1860-0840 | |
| 505 | 0 | |a 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. | |
| 520 | |a 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 unpredictable nature of complex dynamical systems and to predict their future evolution. Utilizing Python code, this book teaches and applies machine learning to topics such as chaotic dynamics and time-series analysis, solitons, breathers, chimeras, nonlinear localization, biomolecular dynamics, and wave propagation in the heart. The consistent integration of methods and models allow for readers to develop a necessary intuition on how to handle complexity through AI. This textbook contains a wealth of expository material, code, and example problems to support and organize academic coursework, allowing the technical nature of these areas of study to become highly accessible. Requiring only a basic background in mathematics and coding in Python, this book is an essential text for a wide array of advanced undergraduate or graduate students in the applied sciences interested in complex systems through the lens of machine learning. | ||
| 532 | 8 | |a Accessibility summary: This PDF does Not fully comply with PDF/UA standards but does include limited screen reader support, descriptions for Non-text content (such as images and graphs), bookmarks for easy navigation, and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognise the importance of accessibility and welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us via https://www.springernature.com/gp/info/accessibility | |
| 532 | 8 | |a Inaccessible, or known limited accessibility | |
| 532 | 8 | |a No reading system accessibility options actively disabled | |
| 532 | 8 | |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com | |
| 588 | |a Print version record. | ||
| 650 | 0 | |a System theory. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Quantum physics. | |
| 650 | 0 | |a Quantum electrodynamics. | |
| 650 | 0 | |a Biophysics. | |
| 650 | 0 | |a Epidemiology. | |
| 650 | 1 | 4 | |a Complex Systems. |
| 650 | 2 | 4 | |a Artificial Intelligence. |
| 650 | 2 | 4 | |a Quantum Physics. |
| 650 | 2 | 4 | |a Quantum Electrodynamics, Relativistic and Many-body Calculations. |
| 650 | 2 | 4 | |a Biophysics. |
| 650 | 2 | 4 | |a Epidemiology. |
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| 776 | 0 | 8 | |i Printed edition: |z 9783031819452 |
| 776 | 0 | 8 | |i Printed edition: |z 9783031819476 |
| 776 | 0 | 8 | |i Printed edition: |z 9783031819483 |
| 830 | 0 | |a Understanding Complex Systems, |x 1860-0840 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-031-81946-9 |
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| 950 | |a Mathematics and Statistics (SpringerNature-11649) | ||
| 950 | |a Mathematics and Statistics (R0) (SpringerNature-43713) | ||
| 950 | |a Focus Bundle Physics and Astronomy (SpringerNature-85420) | ||