摘要
Abstract
In order to improve the accuracy and operational efficiency of financial management and decision-making system in medical management system,this study uses support vector machine(SVM)to analyze financial and other data,and constructs a least squares support vector machine(LS-SVM)model.Furthermore,the model uses particle swarm optimization(PSO)al-gorithm to automatically optimize parameters.The PSO-LS-SVM algorithm is used to financial management and decision-mak-ing systems in medical management system to provide real-time dynamic financial data and promote the digital construction of medical management system.The research results show that PSO-LS-SVM can reduce the overall complexity of the algorithm,accelerate the efficiency of machine operations,and greatly improve the convergence speed.Using PSO-LS-SVM to simulate fi-nancial data,it is found that it has a higher accuracy rate,with a deviation value between 0 and 0.6.Among the three algo-rithms,i.e.,SVM,LS-SVM,and PSO-LS-SVM,SVM has the largest deviation value,then LS-SVM,and PSO-LS-SVM has the smallest.This indicates that PSO-LS-SVM can provide more scientific services for financial management and decision-mak-ing system in medical system.关键词
PSO/LS-SVM/医疗管理系统/财务管理/决策系统Key words
PSO/LS-SVM/medical management system/financial management/decision-making system分类
信息技术与安全科学
