| 基于贝叶斯网络的流动妇女收入影响因素研究 |
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| 引用本文： | 葛莹玉,李春平,尹勤.基于贝叶斯网络的流动妇女收入影响因素研究[J].西北人口,2010,31(5):41-43,48. |
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| 作者姓名： | 葛莹玉 李春平 尹勤 |
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| 作者单位： | 1. 江苏技术师范学院,商学院,江苏,常州,213001
2. 南京人口管理干部学院,人口经济系,南京,210042 |
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| 基金项目： | 全国统计科学研究计划重大课题《中国人口流动对经济发展贡献率的统计研究》，全国统计科学研究计划重点项目《人口流动对区域经济协调发展贡献的统计研究》(2009LZ015)的一部分 |
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| 摘 要： | 文章采用贝叶斯网络来学习和构造流动妇女收入影响因素系统,通过比较不同算法下贝叶斯网络结构的差异,说明江苏流动妇女收入影响因素之间的关系,为研究复杂社会问题提供一种简便、有效的方法。研究发现,城市是影响流动妇女职业和收入的关键变量,受教育程度和培训并不直接影响流动妇女的职业和收入。
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| 关 键 词： | 贝叶斯网络 结构学习算法 流动妇女 |
Study on Factors of Floating Women's Income in Jiangsu Province Based on Bayesian Networks |
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| GE Ying-yu,LI Chun-ping,YIN Qin.Study on Factors of Floating Women's Income in Jiangsu Province Based on Bayesian Networks[J].Northwest Population Journal,2010,31(5):41-43,48. |
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| Authors: | GE Ying-yu LI Chun-ping YIN Qin |
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| Institution: | 1.School of Business,Jiangsu Teachers University of Technology,Changzhou 213001,China;2.Department of Economics and Demography,Nanjing College for Population Programme Management,Nanjing 210042,China) |
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| Abstract: | Due to the uncertainty of the factors that influence the income and other characters of floating women in Jiangsu province,Bayesian Network is used to model this kind of system.Different algorithms are used for learning Bayesian Networks in order to compare several models.It is suggested that researchers can use Bayesian Networks to explore the potential relationship between variables of complex social problems.The result indicates that city is the key variable which influenced floating wom-an’s job and income.Education and training experience didn’t influenced floating woman’s job and income directly. |
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| Keywords: | Bayesian networks Learning algorithms Floating women |
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