基于BP神经网络的输变电工程工期预测模型

Bo Yu, Xiaomin Liu, Xinrui Ju, Ye Wan, Yuanyuan Liu
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引用次数: 0

摘要

输变电工程总工期影响因素较多,导致工期预测精度较低。传统的工期预测方法存在一定的局限性。预测结果主要依赖于历史信息材料和专家判断,因此一直是预测的难点。针对存在的问题,提出了一种基于BP神经网络理论的输变电工程总工期预测方法。该理论具有较高的泛化能力和求解非线性影响因素的能力,可大大提高工程工期预测的精度。
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Construction Duration Prediction Model of Power Transmission and Transformation Project Based on BP Neural Network
There are many factors affecting the total construction duration of power transmission and transformation project, resulting in low accuracy of construction duration prediction. And the traditional construction duration prediction method has some limitations to a certain extent. The prediction results mainly rely on historical information materials and expert judgment, so it has always been the difficulty of prediction. Aiming at the existing problems, a total construction duration prediction method of power transmission and transformation project based on BP neural network theory is proposed. The theory has high generalization ability and the ability to solve nonlinear influencing factors, which can greatly improve the accuracy of construction duration prediction.
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