| 基于GA-SVM模型的福建省城镇登记失业率预测 |
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| 引用本文： | 宋芳. 基于GA-SVM模型的福建省城镇登记失业率预测[J]. 科技和产业, 2009, 9(9): 82-85 |
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| 作者姓名： | 宋芳 |
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| 作者单位： | 福建师范大学,协和学院,福州,350108 |
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| 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。
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| 关 键 词： | 支持向量机 遗传算法 失业率 预测 |
The Prediction of the Urban Registered Unemployment Rate in Fujian Province Based on GA-SVM Model |
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| SONG Fang. The Prediction of the Urban Registered Unemployment Rate in Fujian Province Based on GA-SVM Model[J]. SCIENCE TECHNOLOGY AND INDUSTRIAL, 2009, 9(9): 82-85 |
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| Authors: | SONG Fang |
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| Affiliation: | SONG Fang(Concord University College,Fujian Normal University,Fuzhou 350108,China) |
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| Abstract: | 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. |
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| Keywords: | support vector machine genetic algorithm unemployment rate prediction |
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