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基于无线传感器网络的人工智能系统在企业管理中的应用。

Application of Artificial Intelligence System Based on Wireless Sensor Network in Enterprise Management.

机构信息

Business School, Anyang Normal University, Anyang, Henan 455002, China.

出版信息

Comput Intell Neurosci. 2022 May 27;2022:2169521. doi: 10.1155/2022/2169521. eCollection 2022.

DOI:10.1155/2022/2169521
PMID:35669659
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9167026/
Abstract

With the improvement of the ability to acquire natural information, wireless sensor networks also need to transmit corresponding information in terms of collecting information. Wireless sensor nodes have great application prospects as a key component of wireless sensors. Therefore, different wireless sensors play an important decisive role in the operation of wireless network applications. With the continuous development of wireless sensor networks, existing wireless sensor network nodes exhibit limitations and shortcomings such as inflexible structure, low variability, and low versatility. Specifically, the learning and neural networks obtained by different artificial intelligence expert systems in computing technology are different. On the one hand, it can meet the needs of users for information systems to a certain extent, and on the other hand, it can also help accelerate the development of computer science. At present, the new generation of information technology industry is listed in the seven emerging strategic industries of the country. The new cloud computing technology has gradually expanded to important corporate governance capabilities in terms of information technology. The intelligent application of cloud computing technology replaces traditional enterprise management technology. Efficiency management and risk management can improve the quality and business capabilities of the entire enterprise, improve system applications according to the actual situation of the enterprise, improve system applications, and implement health and the sustainable development of the enterprise, thereby promoting the sustainable development of the computer technology industry.

摘要

随着获取自然信息能力的提高,无线传感器网络也需要在信息采集方面传输相应的信息。无线传感器节点作为无线传感器的关键组成部分,具有广阔的应用前景。因此,不同的无线传感器在无线网络应用的运行中起着重要的决定性作用。随着无线传感器网络的不断发展,现有的无线传感器网络节点表现出结构不灵活、可变性低、通用性低等局限性和缺点。具体来说,不同人工智能专家系统在计算技术中获得的学习和神经网络是不同的。一方面,它在一定程度上可以满足用户对信息系统的需求,另一方面,它也可以帮助加速计算机科学的发展。目前,新一代信息技术产业被列入国家七大新兴战略产业。新的云计算技术已经逐渐扩展到信息技术方面的重要企业治理能力。云计算技术的智能应用取代了传统的企业管理技术。效率管理和风险管理可以提高整个企业的质量和业务能力,根据企业的实际情况改进系统应用,实施健康和企业的可持续发展,从而促进计算机技术产业的可持续发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c7/9167026/9cd93b25ef5f/CIN2022-2169521.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c7/9167026/c789fcc38937/CIN2022-2169521.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c7/9167026/1dc49858b67d/CIN2022-2169521.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c7/9167026/9fc3fa406f13/CIN2022-2169521.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c7/9167026/bce1999f697f/CIN2022-2169521.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c7/9167026/a6dcafb9ff3b/CIN2022-2169521.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c7/9167026/9cd93b25ef5f/CIN2022-2169521.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c7/9167026/c789fcc38937/CIN2022-2169521.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c7/9167026/1dc49858b67d/CIN2022-2169521.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c7/9167026/9fc3fa406f13/CIN2022-2169521.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c7/9167026/bce1999f697f/CIN2022-2169521.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c7/9167026/a6dcafb9ff3b/CIN2022-2169521.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c7/9167026/9cd93b25ef5f/CIN2022-2169521.006.jpg

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