Research on Industrial Waste Recovery Network Optimization: Opportunities Brought by Artificial Intelligence
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-04-25
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
With the acceleration of industrialization and urbanization in China, a large amount of waste in industrial parks has become the main cause of regional environmental pollution.
In order to solve this problem, this paper relied on artificial intelligence’s prediction technology and image recognition technology to intelligently upgrade the traditional industrial waste planning management system and designed a waste intelligent classification center with intelligent prediction and intelligent classification capabilities.
So, as to realize this new intelligent classification center and explain its value, this paper explains the key implementation technology of this intelligent classification center and validates it by constructing a multitarget location model that considers both economic and environmental benefits.
American Psychological Association (APA)
Liao, Bin& Wang, Ting. 2020. Research on Industrial Waste Recovery Network Optimization: Opportunities Brought by Artificial Intelligence. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1194539
Modern Language Association (MLA)
Liao, Bin& Wang, Ting. Research on Industrial Waste Recovery Network Optimization: Opportunities Brought by Artificial Intelligence. Mathematical Problems in Engineering No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1194539
American Medical Association (AMA)
Liao, Bin& Wang, Ting. Research on Industrial Waste Recovery Network Optimization: Opportunities Brought by Artificial Intelligence. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1194539
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1194539