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Data Mining and Machine Learning in Building Energy Analysis: Towards High Performance Computing (Computer Engineering) - Hardcover
Inhaltsangabe
FOCUSING ON UP–TO–DATE ARTIFICIAL INTELLIGENCE MODELS TO SOLVE BUILDING ENERGY PROBLEMS, ARTIFICIAL INTELLIGENCE FOR BUILDING ENERGY ANALYSIS REVIEWS RECENTLY DEVELOPED MODELS FOR SOLVING THESE ISSUES, INCLUDING DETAILED AND SIMPLIFIED ENGINEERING METHODS, STATISTICAL METHODS, AND ARTIFICIAL INTELLIGENCE METHODS. THE TEXT ALSO SIMULATES ENERGY CONSUMPTION PROFILES FOR SINGLE AND MULTIPLE BUILDINGS. BASED ON THESE DATASETS, SUPPORT VECTOR MACHINE (SVM) MODELS ARE TRAINED AND TESTED TO DO THE PREDICTION. SUITABLE FOR NOVICE, INTERMEDIATE, AND ADVANCED READERS, THIS IS A VITAL RESOURCE FOR BUILDING DESIGNERS, ENGINEERS, AND STUDENTS.
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Reseña del editor
Focusing on up-to-date artificial intelligence models to solve building energy problems, Artificial Intelligence for Building Energy Analysis reviews recently developed models for solving these issues, including detailed and simplified engineering methods, statistical methods, and artificial intelligence methods. The text also simulates energy consumption profiles for single and multiple buildings. Based on these datasets, Support Vector Machine (SVM) models are trained and tested to do the prediction. Suitable for novice, intermediate, and advanced readers, this is a vital resource for building designers, engineers, and students.
Biografía del autor
Frederic Magoules is Professor at the Ecole Centrale Paris in France and Honorary Professor at the University of Pecs in Hungary. His research focuses on parallel computing, numerical linear algebra and machine learning. Hai-Xiang Zhao is Senior Researcher at Amadeus in France. His research focuses on parallel computing, data mining and machine learning.
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- VerlagISTE Ltd and John Wiley & Sons Inc
- Erscheinungsdatum2016
- ISBN 10 1848214227
- ISBN 13 9781848214224
- EinbandTapa dura
- SpracheEnglisch
- Anzahl der Seiten186
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Data Mining and Machine Learning in Building Energy Analysis
Verlag:
ISTE Ltd and John Wiley and Sons Inc, 2016
ISBN 10: 1848214227
ISBN 13: 9781848214224
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Hardcover
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HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000. Artikel-Nr. FW-9781848214224
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ARTIFICIAL INTELLIGENCE FOR BUILDING EN
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Gebunden. Zustand: New. Focusing on up-to-date artificial intelligence models to solve building energy problems, Artificial Intelligence for Building Energy Analysis reviews recently developed models for solving these issues, including detailed and simplified engineering methods,. Artikel-Nr. 35208858
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Data Mining and Machine Learning in Building Energy Analysis
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
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Buch. Zustand: Neu. Neuware - Focusing on up-to-date artificial intelligence models to solve building energy problems, 'Artificial Intelligence for Building Energy Analysis' reviews recently developed models for solving these issues, including detailed and simplified engineering methods, statistical methods, and artificial intelligence methods. The text also simulates energy consumption profiles for single and multiple buildings. Based on these datasets, Support Vector Machine (SVM) models are trained and tested to do the prediction. Suitable for novice, intermediate, and advanced readers, this is a vital resource for building designers, engineers, and students. Artikel-Nr. 9781848214224
Anzahl: 2 verfügbar