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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2021
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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) |
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Mathematics QA1-939 RuiLe Lan XiJia He Global Information Management Model and Identification Method Based on Deep Reinforcement Learning |
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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 |
_version_ |
1718443232584531968 |