基于GA-SVM模型的福建省城镇登记失业率预测  

The Prediction of the Urban Registered Unemployment Rate in Fujian Province Based on GA-SVM Model

作　　者：宋芳[1] 

机构地区：[1]福建师范大学协和学院,福州350108

出　　处：《科技和产业》2009年第9期82-85,共4页Science Technology and Industry

摘　　要：将支持向量机应用在失业率预测中,采用遗传算法对传统的支持向量机进行改进,并以福建省城镇登记失业率为对象进行仿真和预测,其结果表明,该模型具有较好的学习和泛化能力,为失业率的预测提供了一条新的途径。Support Vector Machine is applied to unemployment rate prediction, and the conventional SVM is improved by the Genetic Algorithm. The modeling and forecasting results about the urban registered unemployment rate in Fujian province show that the new algorithm has excellent learning capacities and generalization ability. This model offers a new approach for unemployment rate prediction.

关 键 词：支持向量机 遗传算法 失业率 预测 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程]