Machine Learning Techniques for Space Weather is popular PDF and ePub book, written by Enrico Camporeale in 2018-05-31, it is a fantastic choice for those who relish reading online the Science genre. Let's immerse ourselves in this engaging Science book by exploring the summary and details provided below. Remember, Machine Learning Techniques for Space Weather can be Read Online from any device for your convenience.
Machine Learning Techniques for Space Weather Book PDF Summary
Machine Learning Techniques for Space Weather provides a thorough and accessible presentation of machine learning techniques that can be employed by space weather professionals. Additionally, it presents an overview of real-world applications in space science to the machine learning community, offering a bridge between the fields. As this volume demonstrates, real advances in space weather can be gained using nontraditional approaches that take into account nonlinear and complex dynamics, including information theory, nonlinear auto-regression models, neural networks and clustering algorithms. Offering practical techniques for translating the huge amount of information hidden in data into useful knowledge that allows for better prediction, this book is a unique and important resource for space physicists, space weather professionals and computer scientists in related fields. Collects many representative non-traditional approaches to space weather into a single volume Covers, in an accessible way, the mathematical background that is not often explained in detail for space scientists Includes free software in the form of simple MATLAB® scripts that allow for replication of results in the book, also familiarizing readers with algorithms
Detail Book of Machine Learning Techniques for Space Weather PDF
- Author : Enrico Camporeale
- Release : 31 May 2018
- Publisher : Elsevier
- ISBN : 9780128117897
- Genre : Science
- Total Page : 454 pages
- Language : English
- PDF File Size : 11,8 Mb
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