Research Article
Research on Intelligent Investment Prediction Model of Building Based on Support Vector Machine
@INPROCEEDINGS{10.1007/978-3-030-67874-6_2, author={Yuan-ling Ma and Run-lin Li and Xiao Ma}, title={Research on Intelligent Investment Prediction Model of Building Based on Support Vector Machine}, proceedings={Advanced Hybrid Information Processing. 4th EAI International Conference, ADHIP 2020, Binzhou, China, September 26-27, 2020, Proceedings, Part II}, proceedings_a={ADHIP PART 2}, year={2021}, month={1}, keywords={Building intelligence Expert system Support vector machine Project cost prediction}, doi={10.1007/978-3-030-67874-6_2} }- Yuan-ling Ma
Run-lin Li
Xiao Ma
Year: 2021
Research on Intelligent Investment Prediction Model of Building Based on Support Vector Machine
ADHIP PART 2
Springer
DOI: 10.1007/978-3-030-67874-6_2
Abstract
In view of the imperfection of intelligent construction cost specification, the complexity of cost influencing factors and the lack of historical cost data, the expert system and support vector machine theory are combined to achieve knowledge acquisition and data integration. By using the expert system module, the regression calculation, the establishment of project cost prediction model and the model test of parameter setting and optimization are realized. In addition, the investment prediction speed of the model is faster. Finally, through the empirical data analysis, the accuracy and effectiveness of the model are verified, which provides the economic indicators and reference materials for the design stage of intelligent building projects.
