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Construction Cost Index Forecasting: A Multi-feature Fusion Approach. (arXiv:2108.10155v4 [cs.LG] UPDATED)
Web: http://arxiv.org/abs/2108.10155
Jan. 28, 2022, 2:11 a.m. | Tianxiang Zhan, Yuanpeng He, Fuyuan Xiao
cs.LG updates on arXiv.org arxiv.org
The construction cost index is an important indicator of the construction
industry. Predicting CCI has important practical significance. This paper
combines information fusion with machine learning, and proposes a multi-feature
fusion (MFF) module for time series forecasting. The main contribution of MFF
is to improve the prediction accuracy of CCI, and propose a feature fusion
framework for time series. Compared with the convolution module, the MFF module
is a module that extracts certain features. Experiments have proved that the
combination …
More from arxiv.org / cs.LG updates on arXiv.org
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