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Artificial intelligence system–based oasis soil water quality measurement and network marketing behavior analysis
Arabian Journal of Geosciences Pub Date : 2021-07-24 , DOI: 10.1007/s12517-021-07737-5
Fagang Hu 1
Affiliation  

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.



中文翻译:

基于人工智能系统的绿洲土壤水质测量与网络营销行为分析

地下水是绿洲农业发展的唯一水源。但由于缺乏科学的地下水管理和过度开采,灌溉技术和作物种植结构也存在不同程度的问题,导致绿洲地下水位逐年下降、水质恶化、土壤盐渍化、荒漠化。 , 和植被退化。这些问题造成的严重后果继续威胁着绿洲的生态保护和农业发展。本文重点讨论地下水资源过度开采引起的绿洲水文生态问题。以绿洲为本文的研究目标,本文结合“统筹水资源开发利用与生态环境保护,实现可持续发展”的生态理念,从数据挖掘的角度研究数据挖掘技术,重点研究神经网络在电信行业的营销评价。本文将介绍数据挖掘技术和神经网络技术的发展现状和应用领域,探讨我国电子通信行业营销计划评估方法的现状和未来发展趋势,探讨目前国内电信行业采用人工统计和营销政策评估 作者将使用数据挖掘、人工智能、复杂网络分析等研究方法,突破传统用户趋势研究的界限。基于企业营销中的各项指标数据和营销后的反馈数据,进一步发展了基于BP算法的评价模型,电信营销评价模型弥补了人工分析的不足。

更新日期:2021-07-24
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