Abstract: In the process of the research of monitoring abnormal capital flows, it is very difficult to acquire the real financial transaction data on account of many factors such as bank secrecy. Even though these real data are adopted, due to various data formats, data fracture, and other factors among the different banks, there still exist many problems when the data are adopted directly for the research. It is obviously impossible and unrealistic to build such a huge data warehouse through artificial methods by using traditional simulation trading platform. Therefore, the thesis, by means of many computer technologies such as artificial intelligent, simulation and virtual reality, builds a capital flows simulation platform for researching the abnormal capital flows in financial networks.

About the Author

Yongbin Zhu, male, a teacher acts as lecturer in the department of computer science and technology, Honghe University. As a researcher in computer science, the interests are covered three disciplines: Computer simulation and virtual reality, artificial intelligence, computational intelligence.

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