Construction Cost Prediction Based on Genetic Algorithm and BIM
Abstract
According to the analysis and prediction of engineering cost, a BIM-aided analysis method based on GA network model is proposed. First, we improve the neural network by genetic algorithm; second, according to the engineering feature vector, BIM software is used to train the GA network model; finally, the GA network model reaches a steady state, given prediction of Engineering cost. According to the experimental study of 20 high-rise residential buildings in YJW area, the experimental results show that the proposed GA model combined with BIM auxiliary analysis method can accurately and easily complete the project cost prediction.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Oct 16, 2019
- Source ID
- 10.1142/s0218001420590260
Entities
People
- Liang Zhao
- Wei Zhang
- Wenshun Wang
Organizations
- Freiberg University of Mining and Technology
- Jiangsu Vocational Institute of Architectural Technology