Dynamic Data Assimilation
eBook - PDF

Dynamic Data Assimilation

Beating the Uncertainties

  1. 118 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Dynamic Data Assimilation

Beating the Uncertainties

Book details
Table of contents
Citations

About This Book

Data assimilation is a process of fusing data with a model for the singular purpose of estimating unknown variables. It can be used, for example, to predict the evolution of the atmosphere at a given point and time. This book examines data assimilation methods including Kalman filtering, artificial intelligence, neural networks, machine learning, and cognitive computing.

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Yes, you can access Dynamic Data Assimilation by Dinesh G. Harkut in PDF and/or ePUB format, as well as other popular books in Mathematics & Applied Mathematics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
IntechOpen
Year
2020
ISBN
9781839680854
Topic
Mathematics
Subtopic
Applied Mathematics
Index
Mathematics

Table of contents

  1. Dynamic Data Assimilation - Beating the Uncertainties
  2. Contents
  3. Preface
  4. Chapter 1 - Introductory Chapter: Data Assimilation
  5. Chapter 2 - Adaptive Filter as Efficient Tool for Data Assimilation under Uncertainties
  6. Chapter 3 - Convolutional Neural Network Demystified for a Comprehensive Learning with Industrial Application
  7. Chapter 4 - Estimation for Motion in Tracking and Detection Objects with Kalman Filter
  8. Chapter 5 - Kalman Filtering Applied to Induction Motor State Estimation
  9. Chapter 6 - Data Processing Using Artificial Neural Networks