Abstract
The rapid development of science and technology has provided us with great convenience, and the payment methods are gradually enriched. On the basis of traditional electronic payment, digital currency has emerged as the times require. As a strategic currency, it is very necessary to supervise the market status during its whole life. In this paper, the authors propose a scenario payment identification model based on RNN network to identify different scenarios of electronic payment for the intelligent analysis of digital currency. On this basis, PSO is adopted to optimize the initial parameters of the model to improve the accuracy of model identification. Finally, the high-precision identification of different electronic payment means in multiple scenarios was completed, providing detailed data reference for the development of electronic payment market and digital currency, thus providing an objective basis for policy formulation and adjustment in the next stage.
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More From: International Journal of Information Technologies and Systems Approach
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