Equipment consumption prediction based on projection pursuit regression

Yanan Zhang; Xiao Li

doi:10.1117/12.3048068

3 October 2024 Equipment consumption prediction based on projection pursuit regression

Yanan Zhang, Xiao Li

Author Affiliations +

Proceedings Volume 13272, Fifth International Conference on Computer Vision and Data Mining (ICCVDM 2024); 132721D (2024) https://doi.org/10.1117/12.3048068
Event: 5th International Conference on Computer Vision and Data Mining (ICCVDM 2024), 2024, Changchun, China

Abstract

Equipment demand prediction is the basic work of equipment guarantee, and it has traction for equipment financing and replenishment. Using the projection tracing regression model, the prediction model of the factors affecting equipment consumption, such as the operation type style, operation duration and task difficulty, the comprehensive index of detachment behavior, the intensity of the operation, the number of personnel, the operation equipment, and the field conditions, etc., has been set up, and the experiments have shown that the prediction accuracy of this model is high, which solves the problem of the previous low prediction accuracy by using only historical data and traditional experience. The model has high prediction accuracy and solves the problem of low prediction accuracy by using only historical data and traditional experience, which is of great significance to the equipment guarantee.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yanan Zhang and Xiao Li "Equipment consumption prediction based on projection pursuit regression", Proc. SPIE 13272, Fifth International Conference on Computer Vision and Data Mining (ICCVDM 2024), 132721D (3 October 2024); https://doi.org/10.1117/12.3048068

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