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A comprehensive comparative analysis of machine learning models for predicting heating and cooling loads

Chia sẻ: Huỳnh Lê Khánh Thi | Ngày: | Loại File: PDF | Số trang:6

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The present study introduces a set of machine learning-based models to predict the heating and cooling loads in buildings. This includes back-propagation artificial neural network, generalized regression neural network, radial basis neural network, radial kernel support vector machines and ANOVA kernel support vector machines.

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Nội dung Text: A comprehensive comparative analysis of machine learning models for predicting heating and cooling loads

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