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Financial capital market computer simulation system based on machine learning and expert reasoning system

A technology of computer simulation and reasoning system, applied in the field of information processing

Inactive Publication Date: 2018-09-14
SHANGHAI JIAO TONG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Financial R&D personnel can only use these simulation platforms to set parameters to simulate the operation of the financial system. There is no such patent that uses an independently developed simulation system

Method used

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  • Financial capital market computer simulation system based on machine learning and expert reasoning system
  • Financial capital market computer simulation system based on machine learning and expert reasoning system
  • Financial capital market computer simulation system based on machine learning and expert reasoning system

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Embodiment Construction

[0029] Such as figure 1 As shown, the present invention includes: an information collection and self-learning system, a multi-agent system, an economic market system and a control parameter set module.

[0030] The information collection and self-learning system includes: a social financial data collection system and a deep learning network, wherein: the social financial collection system collects real-time data of social financial operations, the deep learning network establishes a data model according to social real-time data, and the deep learning network The output is the characteristics of the economic object. The economic object parameters obtained by the deep learning network are the cluster characteristics of economic objects in the economic environment, not just a single characteristic. In this way, the simulation system of the present invention has self-learning ability, and can use real-time financial data to correct the characteristics of economic objects, so that...

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Abstract

The invention relates to a financial capital market computer simulation system based on machine learning and an expert reasoning system. The system comprises an information acquisition and self-learning system, a multi-agent system, an economic market system and a control parameter set module, wherein the information acquisition and self-learning system is used for acquiring present social and economic real-time operational data and inputting the data into the deep learning network, the deep learning network is used for learning and fusing the data and acquiring economic behavior multi-agent establishment assignment parameters and inputting the parameters into the multi-agent system, attributes and parameters of economic behavior objects are established by a multi-agent according to the parameters inputted by the information acquisition and self-learning system, economic objects are preset in the multi-agent system, and the economic objects are further utilized to simulate the capitalflow of the capital market. The system is advantaged in that operation of the financial system can be simulated, and the impact of market behavior rules on market capital operation and the economic behavior objects is simulated.

Description

technical field [0001] The invention relates to a technology in the field of information processing, in particular to a financial capital market computer simulation system based on machine learning and expert reasoning system. Background technique [0002] In order to better understand and explore the financial system, people use various research methods, such as through appropriate simplification of the capital market, including simplification of investor forecasting and decision-making methods, market mechanisms, etc., to establish a complete analytical framework to help understand Financial market. These models explain some phenomena but leave many unanswered questions, and in common practice economists have very limited predictive validity. [0003] However, the current financial capital market computer simulation systems basically use general-purpose software platforms, such as the "Sugar scape" model developed by Epstein and Axtell and the Swarm multi-agent simulation...

Claims

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Application Information

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IPC IPC(8): G06Q40/00G06F17/50G06N5/04
CPCG06F30/20G06N5/046G06Q40/00
Inventor 李双宏詹承俊张泽瀚杨煜普
Owner SHANGHAI JIAO TONG UNIV
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