| 基于一类优化BP神经网络模型的中国廉租房条件(家庭贫困)界定研究 |
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| 引用本文： | 廖宝超,王晓慧,张魁,陈婷茹,张建勋.基于一类优化BP神经网络模型的中国廉租房条件(家庭贫困)界定研究[J].数学的实践与认识,2014(10). |
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| 作者姓名： | 廖宝超 王晓慧 张魁 陈婷茹 张建勋 |
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| 作者单位： | 烟台南山学院现代教育中心;中国海洋大学水产学院;宁波大学理学院; |
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| 基金项目： | 山东省教育科学“十二五”规划课题(2011GG378) |
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| 摘 要： | 建立家庭情况界定评价指标体系,通过采样居民家庭经济状况,建立优化BP神经网络用于计算贫困指数、贫困级差数实现家庭贫困界定,运用软件鉴定结果,并将原理推广到其他评价方法.
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| 关 键 词： | BP神经网络模型 廉租房条件 模型推广 检验结果 贫困家庭界定 |
The Research on the China's Housing Problem with BP Model to Distinguish Between the Poor Family |
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| Abstract: | Set family situation indicator system,by sampling household economic status,and with the establishment of BP neural network to build a mathematical BP model to distinguish the poor families.Using the poverty index and the poor in steps to calculate the definition of poor families.The final is the evaluation of the effect of the use of the software to identify and promote the principles to other evaluation methods. |
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| Keywords: | BP model low rent housing model improved inspection distinguish the poor families |
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