Construction cost prediction and optimization algorithm based on big data analytics and machine learning

Peipei Huang

doi:10.1117/12.3033026

5 July 2024 Construction cost prediction and optimization algorithm based on big data analytics and machine learning

Peipei Huang

Proceedings Volume 13184, Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024); 131843Z (2024) https://doi.org/10.1117/12.3033026
Event: 3rd International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024), 2024, Kuala Lumpur, Malaysia

Abstract

In order to solve the problem that the current distribution network project cost influencing factors are numerous and complex, and it is difficult to accurately predict the project cost, a combined prediction model of construction project cost. Firstly, the important cost influencing factors are selected from the big data of construction cost based on gray correlation analysis, secondly, the key parameters of the least squares vector machine algorithm are optimized based on cross-validation and grid search algorithm.

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

Citation Download Citation

Peipei Huang "Construction cost prediction and optimization algorithm based on big data analytics and machine learning", Proc. SPIE 13184, Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024), 131843Z (5 July 2024); https://doi.org/10.1117/12.3033026

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