透過您的圖書館登入
IP:3.145.111.125
  • 期刊

Investigation on Residents' Attitudes and Methods of Express Packaging Recycling in Tangshan, Hebei Province

摘要


With the rapid development of the Internet, online shopping has become the trend of a new generation. In this wave, a new focus - Express packaging has been born. This paper makes an in-depth investigation and Research on the express packaging recycling market, understands the operation and existing problems of the express packaging recycling market through the data obtained from the design questionnaire and field survey, and then analyzes its optimization ways to solve the problem of express packaging pollution and improve residents' satisfaction. In the data analysis stage, based on the principle of SVM-KNN, this paper establishes a model to segment the market population of express packaging recycling market, classify customers, and deeply analyze the source and development trend of current express packaging recycling problems; Then, based on the principle of relm, a model is established to predict the market potential, tap the potential market and provide direction for market development.

參考文獻


Cover T.M, Hart P.E. Nearest neighbor pattern Classification. In: IEEE Transon Information Theory, 1967, 13(1): 21-27.
Huang G-B, Zhou H, Ding X, et al. Extreme learning machine for regression and multiclass classification [J]. IEEE Transactions on Systems, Man, and Cybernetics–Part B: Cybernetics. 2012, 42 (2): 513–529.
Yang H, Yi J, Zhao J, et al. Extreme learning machine based genetic algorithm and its application in power system economic dispatch [J]. Neurocomputing. 2013,102: 154–162.
Research on the green packaging of government-driven express package [D]. Hunan University,2018.
General Office of the State Council forwarding Notice of The National Development and Reform Commission and other departments on Accelerating the Green transformation of Express packaging [J]. Bulletin of The State Council of the People's Republic of China,2020(35):18-22.

延伸閱讀