关键词: 回归分析, MLP模型, 随机森林算法, 影响因素

Abstract: The influencing factors of household waste classification was studied from the perspective of residents and the third-party evaluation agency scoring. The study founded that from the perspective of residents， the main factors affecting the classification of residents’ waste were personal values， group norms， publicity efforts， delivery convenience， supervision and classification attitude in order. And from the perspective of the third-party evaluation agency scoring， the main factors affecting the classification of residents’ waste were the convenience of delivery， classification attitude， reward and punishment mechanism， reward and punishment measures， supervision and group norms in order. There were certain differences in the influencing factors of residential waste classification from different perspectives. Because the residents’ perspective was subjective and one-sided， it was recommended to study the influencing factors of residential waste classification from the perspective of third-party evaluation agency scoring， the research results from this perspective were more objective and accuracy.

Key words: 　regression analysis, MLP model, random forest algorithm, influencing factors