Name: Topological Dynamics in Metamodel Discovery With Artificial Intelligence: From Biomedical to Cosmological Technologies (Chapman & Hall (en Inglés)
Price: 69030.00 CLP
Availability: InStock
Author: Ariel Fernández
ISBN: 9781032366333

portada Topological Dynamics in Metamodel Discovery With Artificial Intelligence: From Biomedical to Cosmological Technologies (Chapman & Hall (en Inglés)

Topological Dynamics in Metamodel Discovery With Artificial Intelligence: From Biomedical to Cosmological Technologies (Chapman & Hall (en Inglés)

Formato

Libro Físico

Editorial

Crc Pr Inc

Autor

Ariel Fernández

Idioma

Inglés

N° páginas

210

Encuadernación

Tapa Blanda

ISBN13

9781032366333

N° edición

Topological Dynamics in Metamodel Discovery With Artificial Intelligence: From Biomedical to Cosmological Technologies (Chapman & Hall (en Inglés)

Ariel Fernández (Autor) · Crc Pr Inc · Tapa Blanda

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Reseña del libro "Topological Dynamics in Metamodel Discovery With Artificial Intelligence: From Biomedical to Cosmological Technologies (Chapman & Hall (en Inglés)"

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 intelligence Implements topological approaches to distill "machine-intuitive" models from complex dynamics data Introduces a new paradigm for a parsimonious model of a dynamical system without resorting to differential equations Heralds a new era in data-driven science and engineering based on the operational concept of "computational intuition" 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.