RPA and Artificial Intelligence in Budget Management Based on Multiperspective Recognition Based on Network Communication Integration

Nowadays, RPA robots are increasingly used in daily office tasks such as finance and human resources. They play an increasingly important role in realizing office automation, which can improve work efficiency and reduce labor costs. In order to improve the efficiency of budget management and save hu...

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Autores principales:	Haiying Luo, Haichang Luo
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi-Wiley 2021
Materias:	Technology T Telecommunication TK5101-6720
Acceso en línea:	https://doaj.org/article/4f980bf95cc24c7b87a06457ab6aec1d
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spelling	oai:doaj.org-article:4f980bf95cc24c7b87a06457ab6aec1d2021-11-15T01:19:03ZRPA and Artificial Intelligence in Budget Management Based on Multiperspective Recognition Based on Network Communication Integration1530-867710.1155/2021/9723379https://doaj.org/article/4f980bf95cc24c7b87a06457ab6aec1d2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/9723379https://doaj.org/toc/1530-8677Nowadays, RPA robots are increasingly used in daily office tasks such as finance and human resources. They play an increasingly important role in realizing office automation, which can improve work efficiency and reduce labor costs. In order to improve the efficiency of budget management and save human resources, this paper conducts related research based on the multiview recognition technology of network communication integration, combined with RPA in artificial intelligence technology. In the method part, this article introduces the mode of network communication integration and the principles that should be followed, as well as the related processes of RPA. In the algorithm, this paper introduces an integrated algorithm based on ELM. In the experimental part, this article predicts the performance of each model, compares identification functions with different signal-to-voice signals, and compares timing functions on different signal-to-voice signals, periodic transmission mode indicators, recognition rates of different kernel functions, and comparison of average recognition rates and multiview recognition rate comprehensive analysis of these multiple aspects. Under the same conditions, the recognition rate of some angles is lower than other angles; 0 degrees, 18 degrees, 126 degrees, and 180 degrees are slightly lower than other angles, which will affect the average recognition rate of the entire recognition. But for multiview gait features, considering the influence of each angle on the recognition rate, the characteristics of each angle are merged together, so that the recognition rate is significantly higher than the average recognition rate of 11 angles. It can be seen that multiview recognition based on network communication integration does have obvious effects on RPA and artificial intelligence in budget management and can improve the efficiency of budget management. The multiperspective recognition technology designed in this study can realize modernization and digitization in budget management.Haiying LuoHaichang LuoHindawi-WileyarticleTechnologyTTelecommunicationTK5101-6720ENWireless Communications and Mobile Computing, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Technology T Telecommunication TK5101-6720
spellingShingle	Technology T Telecommunication TK5101-6720 Haiying Luo Haichang Luo RPA and Artificial Intelligence in Budget Management Based on Multiperspective Recognition Based on Network Communication Integration
description	Nowadays, RPA robots are increasingly used in daily office tasks such as finance and human resources. They play an increasingly important role in realizing office automation, which can improve work efficiency and reduce labor costs. In order to improve the efficiency of budget management and save human resources, this paper conducts related research based on the multiview recognition technology of network communication integration, combined with RPA in artificial intelligence technology. In the method part, this article introduces the mode of network communication integration and the principles that should be followed, as well as the related processes of RPA. In the algorithm, this paper introduces an integrated algorithm based on ELM. In the experimental part, this article predicts the performance of each model, compares identification functions with different signal-to-voice signals, and compares timing functions on different signal-to-voice signals, periodic transmission mode indicators, recognition rates of different kernel functions, and comparison of average recognition rates and multiview recognition rate comprehensive analysis of these multiple aspects. Under the same conditions, the recognition rate of some angles is lower than other angles; 0 degrees, 18 degrees, 126 degrees, and 180 degrees are slightly lower than other angles, which will affect the average recognition rate of the entire recognition. But for multiview gait features, considering the influence of each angle on the recognition rate, the characteristics of each angle are merged together, so that the recognition rate is significantly higher than the average recognition rate of 11 angles. It can be seen that multiview recognition based on network communication integration does have obvious effects on RPA and artificial intelligence in budget management and can improve the efficiency of budget management. The multiperspective recognition technology designed in this study can realize modernization and digitization in budget management.
format	article
author	Haiying Luo Haichang Luo
author_facet	Haiying Luo Haichang Luo
author_sort	Haiying Luo
title	RPA and Artificial Intelligence in Budget Management Based on Multiperspective Recognition Based on Network Communication Integration
title_short	RPA and Artificial Intelligence in Budget Management Based on Multiperspective Recognition Based on Network Communication Integration
title_full	RPA and Artificial Intelligence in Budget Management Based on Multiperspective Recognition Based on Network Communication Integration
title_fullStr	RPA and Artificial Intelligence in Budget Management Based on Multiperspective Recognition Based on Network Communication Integration
title_full_unstemmed	RPA and Artificial Intelligence in Budget Management Based on Multiperspective Recognition Based on Network Communication Integration
title_sort	rpa and artificial intelligence in budget management based on multiperspective recognition based on network communication integration
publisher	Hindawi-Wiley
publishDate	2021
url	https://doaj.org/article/4f980bf95cc24c7b87a06457ab6aec1d
work_keys_str_mv	AT haiyingluo rpaandartificialintelligenceinbudgetmanagementbasedonmultiperspectiverecognitionbasedonnetworkcommunicationintegration AT haichangluo rpaandartificialintelligenceinbudgetmanagementbasedonmultiperspectiverecognitionbasedonnetworkcommunicationintegration
_version_	1718428980782039040

RPA and Artificial Intelligence in Budget Management Based on Multiperspective Recognition Based on Network Communication Integration

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