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Data Mining and Machine Learning in Building Energy Analysis.
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 artifi...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
UNITED STATES :
Wiley-ISTE,
2016.
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| Colección: | Computer engineering series.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Fr©¡a℗Œd©¡a℗Œric Magoules. | |
| 245 | 1 | 0 | |a Data Mining and Machine Learning in Building Energy Analysis. |
| 260 | |a UNITED STATES : |b Wiley-ISTE, |c 2016. | ||
| 300 | |a 1 online resource (187) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Computer Engineering Series | |
| 588 | 0 | |a Print version record. | |
| 504 | |a Includes bibliographical references and index. | ||
| 520 | 8 | |a 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. | |
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Buildings |x Energy conservation |x Mathematical models. | |
| 650 | 0 | |a Buildings |x Energy consumption |x Mathematical models. | |
| 650 | 2 | |a Data Mining | |
| 650 | 2 | |a Machine Learning | |
| 650 | 6 | |a Exploration de données (Informatique) | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 6 | |a Constructions |x Économies d'énergie |x Modèles mathématiques. | |
| 650 | 6 | |a Constructions |x Consommation d'énergie |x Modèles mathématiques. | |
| 650 | 7 | |a COMPUTERS |x General. |2 bisacsh | |
| 650 | 7 | |a Buildings |x Energy conservation |x Mathematical models |2 fast | |
| 650 | 7 | |a Buildings |x Energy consumption |x Mathematical models |2 fast | |
| 650 | 7 | |a Data mining |2 fast | |
| 650 | 7 | |a Machine learning |2 fast | |
| 758 | |i has work: |a Data mining and machine learning in building energy analysis (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGxxmM9KqhdhQwm7P7TXQy |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Magoules, Frédéric. |t Data Mining and Machine Learning in Building Energy Analysis : Towards High Performance Computing. |d : Wiley, ©2014 |z 9781118577691 |
| 830 | 0 | |a Computer engineering series. | |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=4322596 |z Texto completo |
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