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Blockchain-based Smart P2P Lending using Neural Networks
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 180 - Number 35 |
| Year of Publication: 2018 |
| Authors: Bhaumik Choksi, Alisha Sawant, Sai Subhasree Pakina |
10.5120/ijca2018916888
|
Bhaumik Choksi, Alisha Sawant, Sai Subhasree Pakina . Blockchain-based Smart P2P Lending using Neural Networks. International Journal of Computer Applications. 180, 35 ( Apr 2018), 51-55. DOI=10.5120/ijca2018916888
Abstract
Over the past decade, there has been an exponential growth in the number and scale of online lending and crowdfunding platforms. However, these platforms lack a reliable and transparent metric to predict the credit-worthiness of an applicant. They also have a single point of failure and are vulnerable to certain security issues. This paper proposes a Blockchain-based decentralized lending platform that uses deep learning to predict the risk associated with an applicant. The paper also discusses how such a system can be implemented and deployed. The experimental results show how ensemble training can help lower the bias of individual neural networks and provide better predictions for this use case.
References
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- Jacynycz, Viktor, et al. "Betfunding: A distributed bounty-based crowdfunding platform over ethereum." Distributed Computing and Artificial Intelligence, 13th International Conference. Springer, Cham, 2016.
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