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Machine Learning and Its Application to Reacting Flows ML and Combustion

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This open access book introduces and explains machine learning (ML) algorithms and techniques developed for statistical inferences on a complex process or system and their applications to simulations of chemically reacting turbulent flows. These two fields, ML and turbulent combustion, have large bo...

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書誌詳細
その他の著者:	Swaminathan, Nedunchezhian (編集者), Parente, Alessandro (編集者)
フォーマット:	電子媒体図書の章
言語:	英語
出版事項:	Cham Springer Nature 2023
シリーズ:	Lecture Notes in Energy 44
主題:	Fossil fuel technologies Engineering thermodynamics Machine learning Thermodynamics & heat Machine Learning Combustion Simulations Combustion Modelling Big Data Analysis Dimensionality reduction Reduced-order modelling Neural Networks Turbulent Combustion Physics-based modelling Data-driven modelling Deep learning Thermoacoustics and its modelling Reactive molecular dynamics Simulations of reacting flows
オンライン･アクセス:	OAPEN Library: download the publication OAPEN Library: description of the publication
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

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