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

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 crossvalidation and grid search algorithm.