Analysis of the policy guarantee mechanism of rural infrastructure based on deep learning

Xin Jin, Xiangbin Zuo, Xiaoli Dong, YanJiao Dong and Huanhuan Ding

Technological Forecasting and Social Change, 2021, vol. 166, issue C

Abstract: Rural infrastructure is the key factor affecting the farmers’ income and agricultural production, and plays an important role in development of rural areas. In order to ensure continuous improvement and sustainable development of rural infrastructure, it is necessary to establish a set of guarantee mechanisms that involve policies and regulations, organizational leadership, capital investment and system management of rural infrastructure. Deep learning is a method that simulates the human brain to extract features from input data in a hierarchical manner and thereby improves data interpretation. The better interpreted data can enhance the accuracy of detection and forecast tasks. This paper analyzes the policy guarantee mechanism of rural key infrastructure policies based on deep learning to provide a scientific basis for application of this mechanism in rural China.

Keywords: Deep learning; Rural infrastructure; Policy guarantee (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:166:y:2021:i:c:s0040162521000378

DOI: 10.1016/j.techfore.2021.120605

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