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The Statistical Physics of Data Assimilation and Machine Learning
Henry D. I. Abarbanel
出版
Cambridge University Press
, 2022-02-17
主題
Computers / Artificial Intelligence / General
Computers / Database Administration & Management
Science / Physics / Mathematical & Computational
Science / Physics / General
ISBN
1316519635
9781316519639
URL
http://books.google.com.hk/books?id=hGtYEAAAQBAJ&hl=&source=gbs_api
EBook
SAMPLE
註釋
Data assimilation is a hugely important mathematical technique, relevant in fields as diverse as geophysics, data science, and neuroscience. This modern book provides an authoritative treatment of the field as it relates to several scientific disciplines, with a particular emphasis on recent developments from machine learning and its role in the optimisation of data assimilation. Underlying theory from statistical physics, such as path integrals and Monte Carlo methods, are developed in the text as a basis for data assimilation, and the author then explores examples from current multidisciplinary research such as the modelling of shallow water systems, ocean dynamics, and neuronal dynamics in the avian brain. The theory of data assimilation and machine learning is introduced in an accessible and unified manner, and the book is suitable for undergraduate and graduate students from science and engineering without specialized experience of statistical physics.