Abstract
After the model training and simulation, the data accuracy reaches the expected requirements, which proves that the BP neural network is effective and convenient for the risk evaluation of online loan platform, and proves the effectiveness of the modern evaluation methods such as BP neural network applied to the evaluation of online loan platform, which provides a broader research prospect for the future research. In addition, from the perspective of national regulators, platform itself and investors, this paper describes the use scenarios of the risk assessment method in this paper, and puts forward corresponding suggestions for the control and risk identification of online lending platform.
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Xu, L. (2021). Risk Assessment of Campus Network Loan Platform Based on BP Neural Network. In: Abawajy, J., Xu, Z., Atiquzzaman, M., Zhang, X. (eds) 2021 International Conference on Applications and Techniques in Cyber Intelligence. ATCI 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 81. Springer, Cham. https://doi.org/10.1007/978-3-030-79197-1_104
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DOI: https://doi.org/10.1007/978-3-030-79197-1_104
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