Data Mining and Machine Learning in Building Energy Analysis
暫譯: 建築能源分析中的資料探勘與機器學習

Frédéric Magoules, Hai-Xiang Zhao

Data Mining and Machine Learning in Building Energy Analysis
  • 出版商: Wiley
  • 出版日期: 2016-07-01
  • 售價: $3,465
  • 貴賓價: 9.5 折 $3,292
  • 語言: 英文
  • 頁數: 186
  • 裝訂: Hardcover
  • ISBN: 1848214227
  • ISBN-13: 9781848214224
  • 相關分類: Machine Learning

    • 立即出貨 (庫存=1)

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商品描述

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.

商品描述(中文翻譯)

專注於最新的人工智慧模型以解決建築能源問題，人工智慧在建築能源分析中的應用 回顧了最近開發的解決這些問題的模型，包括詳細和簡化的工程方法、統計方法以及人工智慧方法。該文本還模擬了單一和多棟建築的能源消耗曲線。基於這些數據集，訓練和測試支持向量機（Support Vector Machine, SVM）模型以進行預測。適合初學者、中級和高級讀者，這是建築設計師、工程師和學生的重要資源。

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