Construction engineering material price information data calculation method based on machine learning time sequence prediction algorithm
A time series prediction and machine learning technology, applied in machine learning, database design/maintenance, forecasting, etc., can solve the problems of insufficient analysis of material price factors, only considering environmental data, single reference factors, etc., to achieve strengthening material cost management, The effect of saving social resources and ensuring product quality
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[0059] The embodiments of the present application will be described in detail below with reference to the accompanying drawings and embodiments to solve technical problems and achieve technical effects.
[0060] Based on the above invention, the present invention breaks the dimension, the time of the retrospective and predicted historical data on the basis of the present invention, whether it is a long-term time, and the economic and social impact of historical changes. Analysis and related factors from the material itself, the present invention has a greater time dimension of the present invention, and more accurate.
[0061] In addition, for the singleness of the existing invention, the prediction, predicting price situation, the present invention establishes a unified model calculation for data with historical records, for the lack of historical data support, we prepare n sets of impact price factors Split The backtracking and predictive model, for the diversity of data We have...
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