Topological Dynamics in Metamodel Discovery with Artificial Intelligence (e-bog) af Fernandez, Ariel
Fernandez, Ariel (forfatter)

Topological Dynamics in Metamodel Discovery with Artificial Intelligence e-bog

436,85 DKK (inkl. moms 546,06 DKK)
The leveraging of artificial intelligence (AI) for model discovery in dynamical systems is cross-fertilizing and revolutionizing both disciplines, heralding a new era of data-driven science. This book is placed at the forefront of this endeavor, taking model discovery to the next level.Dealing with artificial intelligence, this book delineates AI's role in model discovery for dynamical systems....
E-bog 436,85 DKK
Forfattere Fernandez, Ariel (forfatter)
Udgivet 21 december 2022
Længde 210 sider
Genrer Data science and analysis: general
Sprog English
Format epub
Beskyttelse LCP
ISBN 9781000806472
The leveraging of artificial intelligence (AI) for model discovery in dynamical systems is cross-fertilizing and revolutionizing both disciplines, heralding a new era of data-driven science. This book is placed at the forefront of this endeavor, taking model discovery to the next level.Dealing with artificial intelligence, this book delineates AI's role in model discovery for dynamical systems. With the implementation of topological methods to construct metamodels, it engages with levels of complexity and multiscale hierarchies hitherto considered off limits for data science.Key Features:Introduces new and advanced methods of model discovery for time series data using artificial intelligenceImplements topological approaches to distill "e;machine-intuitive"e; models from complex dynamics dataIntroduces a new paradigm for a parsimonious model of a dynamical system without resorting to differential equationsHeralds a new era in data-driven science and engineering based on the operational concept of "e;computational intuition"e;Intended for graduate students, researchers, and practitioners interested in dynamical systems empowered by AI or machine learning and in their biological, engineering, and biomedical applications, this book will represent a significant educational resource for people engaged in AI-related cross-disciplinary projects.