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

10.6919/ICJE.202205_8(5).0089

Tailng Chen；Jing Liang；Zihang Chen

Green Packaging ； K-nearest Neighbor Queries ； Regularized Extreme Learning Machine

International Core Journal of Engineering

8卷5期（2022 / 05 / 01）

694 - 700

英文

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.

1. Cover T.M, Hart P.E. Nearest neighbor pattern Classification. In: IEEE Transon Information Theory, 1967, 13(1): 21-27.
   連結：
2. 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.
   連結：
3. 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.
   連結：
4. Research on the green packaging of government-driven express package [D]. Hunan University,2018.
5. 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.
6. Ding T M. Research on the "green" development of Express packaging in China based on circular economy Theory [J].
7. Li Xiangjun. Research on improved SVM-KNN Credit Risk Assessment Model [D]. Yunnan University, 2019.
8. Pan Lifang, Yang Bingru. Research on k-nearest neighbor (KNN) classification algorithm based on cluster [J]. Computer engineering and design,2009,30(18):4260-4262.