Applied Machine Learning for Solar Data Processing : Developing Automated Technologies for Knowledge Extraction and Prediction of Solar Activities using Machine Learning

Language: English

Published by LAP LAMBERT Academic Publishing, 2011

3845477768 / 9783845477763

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - It is becoming increasingly important to understand the possible cause and effect relationships between these solar events and features to produce timely and reliable computer-based forecasting of extreme solar events. These forecasts are very important for protecting our technological infra-structures and human life on earth and in space. The need to develop automated tools to process solar data is also increasing because existing space missions are sending huge amounts of data and scientists back on Earth are struggling to keep pace. In this book, we present our research work introducing novel, fully computerised, machine learning-based decision rules and models that can be used within a system design for automated space weather forecasting. The system design in this book consists of three stages: (1) designing computer tools to find the associations among solar events and features (2) applying machine learning algorithms to the associations datasets and (3) studying the evolution patterns of sunspot groups using time-series methods.…

Seller Inventory # 9783845477763

Title
Applied Machine Learning for Solar Data Processing : Developing Automated Technologies for Knowledge Extraction and Prediction of Solar Activities using Machine Learning
Author
Mohammad H. Alomari
Publisher
LAP LAMBERT Academic Publishing
Publication year
2011
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3845477768
ISBN 13
9783845477763
Item weight
244 grams
Dimensions
220x150x10 mm

AHA-BUCH GmbH

Einbeck, Germany

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AbeBooks seller since August 14, 2006

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