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Issue title: Fuzzy model for human autonomous computing in extreme surveillance and it’s applications
Guest editors: Varatharajan Ramachandran
Article type: Research Article
Authors: Duan, Yingli; *
Affiliations: Yunnan Minzu University, Kunming, Yunnan, China
Correspondence: [*] Corresponding author. Yingli Duan, Yunnan Minzu University, Kunming, Yunnan, China. E-mail: duanliying0030@163.com.
Abstract: Curriculum is the basis of vocational training, its development level and teaching efficiency determine the realization of vocational training objectives, as well as the quality and level of major vocational academic training. Therefore, the development of curriculum is an important issue. And affect the school’s teaching capacity building. The analysis of the latest developments in the main courses shows that there are some deviations or irrationalities in the curriculum in some colleges and universities, and the general problems of understanding the latest courses, such as lack of solid foundation in curriculum setting, unclear direction of objectives, unclear reform ideas, inadequate and systematic construction measures, lack of attention to the quality of education. This paper explains the rules for the establishment of first-level courses, clarifies the ideas and priorities of architecture, and explores strategies for building university-level courses using knowledge of artificial intelligence and neural network algorithms in order to gain experience from them.
Keywords: Artificial intelligence, neural network, University Education, First class courses
DOI: 10.3233/JIFS-189506
Journal: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 6719-6730, 2021
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