Predicting Credit Accessibility Based on Social Capital and Artificial Intelligence,ERICDATA高等教育知識庫
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篇名
Predicting Credit Accessibility Based on Social Capital and Artificial Intelligence
並列篇名
Predicting Credit Accessibility Based on Social Capital and Artificial Intelligence
作者 Thi Thu Huong Dinh、Thai Thuy Lam Ha、Hongjuan Yang
英文摘要

Social capital is a significant factor that determines the success of a business, company or individual. The paper presents a new method to predict the aquaculture household’s ability to access to credit, based on social capital and artificial intelligence. Social capital data is collected through surveys of aquaculture households, and then replying on artificial intelligence algorithms to build predictive models. The prediction results show that our proposed method can accurately predict households accessing the formal credit market. This is the basis for the planning and development of aquaculture in potential areas.

 

起訖頁 039-047
關鍵詞 social capital、credit accessibility、artificial intelligence
刊名 電腦學刊  
期數 202210 (33:5期)
DOI 10.53106/199115992022103305004   複製DOI
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