Prediction method of environmental pollution in smart city based on neural network technology
文献类型：期刊论文
| 作者 | Jiang, Xiujuan2; Zhang, Ping3; Huang, Jinchuan1,4,5 |
| 刊名 | SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS
 |
| 出版日期 | 2022-12-01 |
| 卷号 | 36页码:9 |
| ISSN号 | 2210-5379 |
| 关键词 | Neural network Smart city Environmental pollution Prediction method |
| DOI | 10.1016/j.suscom.2022.100799 |
| 通讯作者 | Jiang, Xiujuan(jiangxiujuan11@126.com) |
| 英文摘要 | The expansion of urban population makes urban development face huge challenges, and the use of emerging technologies to solve urban problems has become the theme of modern urban development. The development of new technologies has accelerated the process of urban development, and smart cities have emerged under these conditions. One of the problems to be solved by smart cities is environmental pollution. The development of industrialized cities has caused a series of environmental problems such as smog and sewage. Therefore, pollution problems must be actively managed. The prediction of environmental pollution is also an important subject in pollution control. This paper is based on neural network technology to study the prediction method of environmental pollution in smart cities. This paper introduces some neural networks commonly used in the field of environmental pollution prediction, and also introduces the processing method of environmental pollution data. This paper also designs experiments. The first experiment is to compare the model in this paper with other three neural network models, and it is found that the model in this paper is smaller than other models in terms of ARE and MAE; the second experiment is to design an environmental pollution prediction system based on the model in this paper, and take sulfur dioxide as an example, use the system to predict the value of sulfur dioxide in two provinces. The results are as follows: the average error value of the system's prediction for Jiangxi Province is 0.31%, and the average error value for Hubei Province is 0.34%. In combination, the neural network designed in this paper compares the pre-accuracy of environmental pollution than other neural networks, and the system predictive accuracy is high. |
| WOS关键词 | BIG DATA ; ARCHITECTURE |
| 资助项目 | Youth Fund Project of Hunan Natural Science Foundation ; [2021JJ40212] |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| 出版者 | ELSEVIER |
| WOS记录号 | WOS:000886060000001 |
| 资助机构 | Youth Fund Project of Hunan Natural Science Foundation |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/187524]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Jiang, Xiujuan |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Wuhan Inst Technol, Sch Civil Engn & Architecture, Wuhan 430074, Hubei, Peoples R China 3.Hunan Univ Sci & Technol, Sch Architecture & Art Design, Xiangtan 411100, Hunan, Peoples R China 4.Chinese Acad Sci, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China 5.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Jiang, Xiujuan,Zhang, Ping,Huang, Jinchuan. Prediction method of environmental pollution in smart city based on neural network technology[J]. SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS,2022,36:9. |
| APA | Jiang, Xiujuan,Zhang, Ping,&Huang, Jinchuan.(2022).Prediction method of environmental pollution in smart city based on neural network technology.SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS,36,9. |
| MLA | Jiang, Xiujuan,et al."Prediction method of environmental pollution in smart city based on neural network technology".SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS 36(2022):9. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。