Machine Learning in Earth, Environmental and Planetary Sciences : Theoretical and Practical Applications /
Machine Learning in Earth, Environmental and Planetary Sciences: Theoretical and Practical Applications is a practical guide on implementing different variety of extreme learning machine algorithms to Earth and environmental data. The book provides guided examples using real-world data for numerous...
| Main Authors: | , , |
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| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
Amsterdam ; Cambridge, MA :
Elsevier,
[2023]
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | Machine Learning in Earth, Environmental and Planetary Sciences: Theoretical and Practical Applications is a practical guide on implementing different variety of extreme learning machine algorithms to Earth and environmental data. The book provides guided examples using real-world data for numerous novel and mathematically detailed machine learning techniques that can be applied in Earth, environmental, and planetary sciences, including detailed MATLAB coding coupled with line-by-line descriptions of the advantages and limitations of each method. The book also presents common postprocessing techniques required for correct data interpretation.This book provides students, academics, and researchers with detailed understanding of how machine learning algorithms can be applied to solve real case problems, how to prepare data, and how to interpret the results.Describes how to develop different schemes of machine learning techniques and apply to Earth, environmental and planetary dataProvides detailed, guided line-by-line examples using real-world data, including the appropriate MATLAB codesIncludes numerous figures, illustrations and tables to help readers better understand the concepts covered. |
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| Item Description: | 8.5 Introduction to the online sequential extreme learning machine |
| Physical Description: | 1 online resource |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 0443152853 9780443152856 |