基于BP神经网络的居民生活质量影响因素分析

Influence Factor Analysis of Quality of Life on the Residents Based on BP Neural Network

采用2006中国综合社会调查数据,应用BP网络对影响居民生活质量的16种因素进行了分析。选择训练样本集,通过BP网络构建居民生活质量的评价模型,由网络权值计算分析得到各影响因素对居民生活质量的贡献大小。实验结果表明,BP网络分析方法简便可行,具有一定的实用性。

In this paper, we use the sample data from＂2006 Chinese General Social Survey＂ , and apply BP network to analyze the several influence factors on quality of life of the resisents. First we select training sample set, then establish assessment model on life quality of people by BP network. At last, the contribution rate of each factor is calculated by the weight of the BP network. Experimental results show that weight analysis by BP networks is meaningful and practical.