本文运用BP神经网络对武陵山区老年人生活质量进行综合评价。首先通过因子分析对影响老年人生活质量的多个指标降维处理,提取出健康情况、经济状况、社会支持、生活环境四个主要影响因素。利用灰色关联分析,进一步识别出了显著程度。最后运用BP神经网络从个人、社会、国家三个层面对老年人生活质量的影响进行综合分析,所获结果可为相关部门评估和提升武陵山区老年人生活质量提供依据和策略。This paper uses the BP neural network to conduct a comprehensive evaluation of the quality of life of the elderly in Wuling Mountainous Area. Firstly, through factor analysis, the multiple indicators affecting the quality of life of the elderly are dimensionally reduced, and four main influencing factors, namely health status, economic situation, social support, and living environment, are extracted. Using grey relational analysis, the significance levels are further identified. Finally, the BP neural network is used to comprehensively analyze the impacts on the quality of life of the elderly from the individual, social, and national levels. The obtained results can provide the basis and strategies for relevant departments to evaluate and improve the quality of life of the elderly in Wuling Mountainous Area.
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