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Article Dans Une Revue Neural Computing and Applications Année : 2019

Machine learning in explaining nonprofit organizations’ participation : a driving factors analysis approach

Yeming Gong

Résumé

The construction of smart cities requires the participation of nonprofit organizations, but there are still some problems in the analysis of driving factors of participation. Based on this, using the structural equation model as the research method, a public satisfaction relationship model, based on the machine learning, for nonprofit organizations participating in the construction planning of smart cities was constructed in this study. At the same time, corresponding assumptions are set, and data are collected through questionnaires. Afterward, the Likert tenth scale was used to score questionnaire questions, and deep learning was conducted in conjunction with the model. The research shows that the model established in this study has good analytical results and has certain practical effects. It can provide suggestions for optimization and can provide theoretical references for subsequent research.
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Dates et versions

hal-02880932 , version 1 (20-10-2021)

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Zhanxue Gong, Xiyuan Li, Jiawen Liu, Yeming Gong. Machine learning in explaining nonprofit organizations’ participation : a driving factors analysis approach. Neural Computing and Applications, 2019, 31 (12), 8267-8277 p. ⟨10.1007/s00521-018-3858-6⟩. ⟨hal-02880932⟩

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