Virtual Currency and Smart Financial Management in Immersive Online Games in the Metaverse Environment

Abstract

In the future meta-cosmic era, all technology companies may be game companies, and the connotation of the game industry will be further extended, and the industrial scale will surely enter the highest stage in history. This article attempts to apply the financial management model combining back propagation neural network (BPNN) and collaborative filtering (CF) algorithm to the virtual currency and intelligent financial management in the online game of Metaverse. Because of the phenomenon of local extremum and random selection of parameters in the financial management pre-alarm model of neural network, the prediction results are quite random. The genetic algorithm (GA) with ergodic characteristics is introduced into the standard BPNN, which gives each particle ergodic characteristics, controls the aggregation degree of particles, avoids the occurrence of local extremum, obtains the global optimal value and ensures the pre-alarm results of the model. The financial management model is more accurate in predicting the financial situation of virtual currency in the online game of Metaverse. Compared with the traditional decision tree algorithm, the recall has increased by more than 15% and the accuracy rate has increased by more than 20%. The proposed financial analysis algorithm of Metaverse virtual currency can provide some theoretical and technical support for the intelligent financial management of virtual currency in the future immersive online games.