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Evaluation of mangrove wetland potential based on convolutional neural network and development of film and television cultural creative industry

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成果类型:
期刊论文
作者:
Xiao, Xin;Zhao, Xiaoxiong
通讯作者:
Zhao, X.
作者机构:
[Xiao, Xin] Northeast Normal Univ, Sch Media Sci, Sch Journalism, Changchun 130024, Jilin, Peoples R China.
[Zhao, Xiaoxiong] Cent China Normal Univ, Fac Artificial Intelligence Educ, Sch Educ Informat Technol, Wuhan 430079, Hubei, Peoples R China.
通讯机构:
[Zhao, X.] F
Faculty of Artificial Intelligence in Education, China
语种:
英文
关键词:
Convolutional neural network;Creative development;Film and television culture;Mangrove wetland
期刊:
Arabian Journal of Geosciences
ISSN:
1866-7511
年:
2021
卷:
14
期:
12
机构署名:
本校为其他机构
院系归属:
教育信息技术学院
摘要:
Convolutional neural network is a deep learning network, which is more suitable for image and speech processing. Image classification is one of the main research areas of visual artificial intelligence, with many applications, such as scene detection and robot vision enhancement. This paper proposes a new convolutional neural network to evaluate the potential of mangrove wetlands and discusses the development of the network in the film and television cultural and creative industries. Mangrove wetland is a special type of marine wetland centered...

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