Global Information Management Model and Identification Method Based on Deep Reinforcement Learning

Many countries in the world are actively conducting research on information technology and management. And deep learning is a new type of efficient and open technology system and tool. It develops and utilizes information and provides new knowledge based on the information processing capabilities of...

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Autores principales: RuiLe Lan, XiJia He
Formato: article
Lenguaje:EN
Publicado: Hindawi Limited 2021
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Acceso en línea:https://doaj.org/article/d33b927100de4bb582562b4d7d891764
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spelling oai:doaj.org-article:d33b927100de4bb582562b4d7d8917642021-11-08T02:35:45ZGlobal Information Management Model and Identification Method Based on Deep Reinforcement Learning1607-887X10.1155/2021/8685715https://doaj.org/article/d33b927100de4bb582562b4d7d8917642021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/8685715https://doaj.org/toc/1607-887XMany countries in the world are actively conducting research on information technology and management. And deep learning is a new type of efficient and open technology system and tool. It develops and utilizes information and provides new knowledge based on the information processing capabilities of the human brain. Its essence lies in understanding the inner connection of things and thinking about problems by obtaining relevant data, so as to achieve the learning goal. Therefore, the research on global information management models and identification methods in this article is based on the consideration of global information security and is to create a good global environment. This article mainly uses the data analysis method, system construction method, and investigation method to sort out and study the content of this article. The survey results show that 270 people put the focus of global information on the ecological environment, and about 30% of them attach great importance to the security of global information.RuiLe LanXiJia HeHindawi LimitedarticleMathematicsQA1-939ENDiscrete Dynamics in Nature and Society, Vol 2021 (2021)
institution DOAJ
collection DOAJ
language EN
topic Mathematics
QA1-939
spellingShingle Mathematics
QA1-939
RuiLe Lan
XiJia He
Global Information Management Model and Identification Method Based on Deep Reinforcement Learning
description Many countries in the world are actively conducting research on information technology and management. And deep learning is a new type of efficient and open technology system and tool. It develops and utilizes information and provides new knowledge based on the information processing capabilities of the human brain. Its essence lies in understanding the inner connection of things and thinking about problems by obtaining relevant data, so as to achieve the learning goal. Therefore, the research on global information management models and identification methods in this article is based on the consideration of global information security and is to create a good global environment. This article mainly uses the data analysis method, system construction method, and investigation method to sort out and study the content of this article. The survey results show that 270 people put the focus of global information on the ecological environment, and about 30% of them attach great importance to the security of global information.
format article
author RuiLe Lan
XiJia He
author_facet RuiLe Lan
XiJia He
author_sort RuiLe Lan
title Global Information Management Model and Identification Method Based on Deep Reinforcement Learning
title_short Global Information Management Model and Identification Method Based on Deep Reinforcement Learning
title_full Global Information Management Model and Identification Method Based on Deep Reinforcement Learning
title_fullStr Global Information Management Model and Identification Method Based on Deep Reinforcement Learning
title_full_unstemmed Global Information Management Model and Identification Method Based on Deep Reinforcement Learning
title_sort global information management model and identification method based on deep reinforcement learning
publisher Hindawi Limited
publishDate 2021
url https://doaj.org/article/d33b927100de4bb582562b4d7d891764
work_keys_str_mv AT ruilelan globalinformationmanagementmodelandidentificationmethodbasedondeepreinforcementlearning
AT xijiahe globalinformationmanagementmodelandidentificationmethodbasedondeepreinforcementlearning
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