Machine Learning in Earth, Environmental and Planetary Sciences (ePub)

Name: Machine Learning in Earth, Environmental and Planetary Sciences
Brand: Elsevier Science & Techn.
SKU: 149282212
Price: 143.00 EUR
Availability: OnlineOnly

Theoretical and Practical Applications (Sprache: Englisch)

Autoren: Hossein Bonakdari , Isa Ebtehaj , Joseph D. Ladouceur

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Machine Learning in Earth, Environmental and Planetary Sciences, Hossein Bonakdari, Isa Ebtehaj, Joseph D. Ladouceur

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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...

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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 data
Provides detailed, guided line-by-line examples using real-world data, including the appropriate MATLAB codes
Includes numerous figures, illustrations and tables to help readers better understand the concepts covered

Autoren-Porträt von Hossein Bonakdari, Isa Ebtehaj, Joseph D. Ladouceur

Dr. Bonakdari obtained his PhD in Civil Engineering from the University of Caen Normandy (France). He has worked for several organizations and most recently as an Associate Professor at the Department of Civil Engineering of the University of Ottawa (Canada). He is one of the most influential scientists in the field of developing novel algorithms for solving practical problems through the decision-making abilities of AI. His research also focuses on creating comprehensive methodologies in the areas of simulation modeling, optimization, and machine learning algorithms. The results obtained from his research have been published in international journals and presented at international conferences. He was included in the list of the world's top 2% scientists, published by Stanford University, and is on the Editorial board of several journals.

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Autoren: Hossein Bonakdari , Isa Ebtehaj , Joseph D. Ladouceur
2023, 250 Seiten, Englisch
Verlag: Elsevier Science & Techn.
ISBN-10: 0443152853
ISBN-13: 9780443152856
Erscheinungsdatum: 01.07.2023

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Dateiformat: ePub
Größe: 48 MB
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Englisch

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