Knowledge Resource Center for Ecological Environment in Arid Area
| DOI | 10.1007/s12517-021-07737-5 |
| Artificial intelligence system-based oasis soil water quality measurement and network marketing behavior analysis | |
| Hu, Fagang | |
| 通讯作者 | Hu, FG (corresponding author), Suzhou Univ, Business Sch, Suzhou 234000, Anhui, Peoples R China. |
| 来源期刊 | ARABIAN JOURNAL OF GEOSCIENCES
 |
| ISSN | 1866-7511 |
| EISSN | 1866-7538 |
| 出版年 | 2021 |
| 卷号 | 14期号:15 |
| 英文摘要 | Groundwater is the only source of water for the development of oasis agriculture. However, due to the lack of scientific groundwater management and excessive exploitation, there are also varying degrees of problems in irrigation technology and crop planting structures, which have caused the oasis's groundwater level to decline year by year, water quality deterioration, soil salinization, desertification, and vegetation degradation. With serious consequences, these problems continue to threaten the ecological protection and agricultural development of the oasis. This article focuses on the hydrological and ecological problems of oasis caused by over-exploitation of groundwater resources. Taking oasis as the research goal of this paper, combined with the ecological idea of coordinating the development and utilization of water resources and ecological environment protection to achieve sustainable development, this paper studies the data mining technology from the perspective of data mining, and focuses on the application and popularization of neural network in the marketing evaluation of the telecommunications industry. This article will introduce the development status and application fields of data mining technology and neural network technology, discuss the current status and future development trends of marketing plan evaluation methods in China's electronic communications industry, and explore the current domestic telecommunications industry's use of manual statistics and evaluation of marketing policies The author will use data mining, artificial intelligence, complex network analysis and other research methods to break through the boundaries of traditional user trend research. Based on various index data in corporate marketing and feedback data after marketing, the evaluation model based on BP algorithm is further developed, and the telecom marketing evaluation model makes up for the shortcomings of manual analysis. |
| 英文关键词 | Artificial intelligence Oasis environment Soil water quality Internet marketing |
| 类型 | Article |
| 语种 | 英语 |
| 收录类别 | SCI-E |
| WOS记录号 | WOS:000691800300003 |
| WOS关键词 | LANDSLIDE ; TUNNEL ; PERFORMANCE ; PREDICTION |
| WOS类目 | Geosciences, Multidisciplinary |
| WOS研究方向 | Geology |
| 资源类型 | 期刊论文 |
| 条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/362550 |
| 作者单位 | [Hu, Fagang] Suzhou Univ, Business Sch, Suzhou 234000, Anhui, Peoples R China |
| 推荐引用方式 GB/T 7714 | Hu, Fagang. Artificial intelligence system-based oasis soil water quality measurement and network marketing behavior analysis[J],2021,14(15). |
| APA | Hu, Fagang.(2021).Artificial intelligence system-based oasis soil water quality measurement and network marketing behavior analysis.ARABIAN JOURNAL OF GEOSCIENCES,14(15). |
| MLA | Hu, Fagang."Artificial intelligence system-based oasis soil water quality measurement and network marketing behavior analysis".ARABIAN JOURNAL OF GEOSCIENCES 14.15(2021). |
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