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Register a new userConstruction Cost Index Forecasting: A Multi-feature Fusion Approach
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Added by
Tianxiang Zhan
Publication date
2021
fields
Informatics Engineering
and research's language is
English
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The construction cost index is an important indicator in the construction industry. Predicting CCI has great practical significance. This paper combines information fusion with machine learning, and proposes a Multi-feature Fusion framework for time series forecasting. MFF uses a sliding window algorithm and proposes a function sequence to convert the time sequence into a feature sequence for information fusion. MFF replaces the traditional information method with machine learning to achieve information fusion, which greatly improves the CCI prediction effect. MFF is of great significance to CCI and time series forecasting.
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