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4 November 2020 The Influence of Happiness Based on the Students of Neural Networks -An Empirical Study in Qinhuangdao
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Abstract

Yu, W.; Zheng, X., and Han, W., 2020. The influence of happiness based on the students of neural networks -an empirical study in Qinhuangdao. In: Li, L. and Huang, X. (eds.), Sustainable Development in Coastal Regions: A Perspective of Environment, Economy, and Technology. Journal of Coastal Research, Special Issue No. 112, pp. 275-278. Coconut Creek (Florida), ISSN 0749-0208.

This article takes the Elderly University of Qinhuangdao, a coastal city in China as an example, adopting the Newfoundland Memorial University Happiness Scale to measure the student's happiness score, selecting five variables - the students' gender, living status, education level, major (department) and school learning time - to be used as the main factors of affecting the happiness of senior college students, to construct BP neural network and quantitatively explore the influence of each factor on their happiness. The results of the study show that female students' happiness is higher than that of male students, the level of their happiness is directly related to their living conditions, improved education can increase their happiness, their happiness is directly related to their major, and the longer students learn in school, the higher their happiness will be.

©Coastal Education and Research Foundation, Inc. 2020
Weiyang Yu, Xin Zheng, and Wei Han "The Influence of Happiness Based on the Students of Neural Networks -An Empirical Study in Qinhuangdao," Journal of Coastal Research 112(sp1), 275-278, (4 November 2020). https://doi.org/10.2112/JCR-SI112-074.1
Received: 30 June 2020; Accepted: 3 August 2020; Published: 4 November 2020
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