For the possible economic crisis of real estate companies, by analyzing the shortcomings of support vector machine (SVM) model, after optimization with particle swarm optimization (PSO), the PSO-SVM model was established by changing economic condition parameters and using data to warn the real estate economic crisis.
Mar 25, 2022
This paper establishes an optimal PSO-SVM model based on the existing SVM model and then uses PSO for optimization analysis.
Mar 25, 2022 · By combining PSO with SVM, this paper analyzes the solvency index, operating ability index, development ability index, profitability index, cash ...
The PSO-SVM model was established by changing economic condition parameters and using data to warn the real estate economic crisis, and it is shown that ...
For the possible economic crisis of real estate companies, by analyzing the shortcomings of support vector machine (SVM) model, after optimization with ...
This paper constructs a real estate risk index system and introduces a machine learning model to carry out measurement and early warning research on the ...
The measurement and early warning of real estate risk are important to prevent and defuse major financial risks, and they form a basis for high-quality ...
May 4, 2024 · This research aims to increase the accuracy of the SVM model in predicting the financial distress of property and real estate companies. The ...
May 31, 2024 · The model uses the PSO algorithm to optimize the parameters of SVM and selects 24 financial risk evaluation indexes as the input to predict the ...
Construction of Economic Security Early Warning System Based on ...
pmc.ncbi.nlm.nih.gov › PMC9200522
This article is based on cloud computing and big data to build an adaptive economic security early warning system that can combine quantitative analysis and ...