Smart financial policy adjustment system based on multiple game theory and artificial intelligence

Abstract

Smart financial policy adjustment system based on multiple game theory and artificial intelligence is designed and implemented in this paper. Financial doud computing is the use of cloud computing model construction principles to interconnect the data centers of various financial institutions and related institutions to form a cloud network which is the core novelty of the proposed framework. In our designed model, the three aspects of the novelties are reflected. (1) The game theory consider the multiple information is studied as the theoretical basis of the data analysis task. (2) Data that organizes, deans, categorizes financial transaction data, and stores it in a certain structure. (3) Model parameters obtained by using the three-time information to establish a model and information obtained by using the model to predict the information. We apply the proposed model into the data colleced and the perfomance shows that compared with the other methods, this one outperforms.