Transport price prediction method, computer equipment and readable storage medium

Transport price prediction method, computer equipment and readable storage medium

The invention discloses a transportation price prediction method, computer equipment and a readable storage medium, and the method comprises the steps: obtaining the current target factor data from a departure place to a destination, and the target factor is at least one influence factor of the logi...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: CHEN WENLIANG, NIE RONGSHENG, WEN ZHIGANG, XIAO XUANYU, PENG ZHUO
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:The invention discloses a transportation price prediction method, computer equipment and a readable storage medium, and the method comprises the steps: obtaining the current target factor data from a departure place to a destination, and the target factor is at least one influence factor of the logistics transportation price; inputting the current target factor data into a pre-trained price prediction model to obtain a logistics transportation price predicted by the price prediction model in a future preset duration; the price prediction model is obtained by training based on historical target factor data and corresponding historical logistics transportation prices. Therefore, according to the data of the at least one influence factor of the logistics transportation price from the departure place to the destination, the logistics transportation price in the future preset duration is automatically predicted through the price prediction model, the logistics transportation price can be accurately predicted, the