Prediction of Vegetable Supply in Henan Province Based on PSO-GM (1, N) Model. (25th August 2021)
- Record Type:
- Journal Article
- Title:
- Prediction of Vegetable Supply in Henan Province Based on PSO-GM (1, N) Model. (25th August 2021)
- Main Title:
- Prediction of Vegetable Supply in Henan Province Based on PSO-GM (1, N) Model
- Authors:
- Guo, Xueqiang
Li, Bingjun - Other Names:
- Qu Shaojian Academic Editor.
- Abstract:
- Abstract : GM (1, N ) model is one of the grey prediction models considering the influence of many factors. This paper improves GM (1, N ) model and constructs PSO-GM (1, N ) model. Firstly, Lasso method is used to select the influencing factors, then the priority of influencing factors and the value of parameter N in GM (1, N ) model are determined, and finally PSO method is used to optimize GM (1, N ) model. Taking the vegetable supply in Henan Province as the research object, this paper makes an empirical test by using PSO-GM (1, N ) model. The results show that the key factors affecting the vegetable supply in Henan Province are the number of rural employees, highway mileage, and application of pesticide. The vegetable supply in Henan Province will continue to show a steady growth trend in the next three years.
- Is Part Of:
- Journal of mathematics. Volume 2021(2021)
- Journal:
- Journal of mathematics
- Issue:
- Volume 2021(2021)
- Issue Display:
- Volume 2021, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 2021
- Issue:
- 2021
- Issue Sort Value:
- 2021-2021-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-08-25
- Subjects:
- Mathematics -- Periodicals
Mathematics
Periodicals
510 - Journal URLs:
- https://www.hindawi.com/journals/jmath/ ↗
http://bibpurl.oclc.org/web/74492 ↗
http://search.ebscohost.com/direct.asp?db=a9h&jid=%22FV7F%22&scope=site ↗ - DOI:
- 10.1155/2021/7874564 ↗
- Languages:
- English
- ISSNs:
- 2314-4629
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 19261.xml