基于多元博弈论和人工智能的智能金融政策调整系统

Yunru Bai, Guang Zhang, San Sun
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摘要

本文设计并实现了基于多元博弈论和人工智能的智能金融政策调整系统。金融云计算是利用云计算模型构建原理,将各类金融机构及相关机构的数据中心互联互通,形成云网络,这是本文框架的核心新颖之处。在我们设计的模型中,体现了三个方面的新颖性。(1)研究了考虑多重信息的博弈论作为数据分析任务的理论基础。(2)对金融交易数据进行组织、整理、分类,并以一定的结构存储的数据。(3)利用三次信息建立模型得到的模型参数和利用该模型得到的信息进行预测的信息。我们将所提出的模型应用到所收集的数据中,性能表明,与其他方法相比,该模型具有更好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart financial policy adjustment system based on multiple game theory and artificial intelligence
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.
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