会议专题

RESEARCH OF DYNAMIC RULE ENGINE IN FINANCIAL MANAGEMENT SOFTWARE

It applies a rule engine design scheme with dynamic programming algorithm and optimal policy in financial management system. The scheme adopts backward reasoning method, when the facts and rules change in a small way, the results of constant parts are kept by the algorithm, and it just needs to calculate the changing parts. Thus, the massive repeated calculating workload can be reduced, which enhances system performance greatly. When the facts and rules have big changing, the algorithm still retains a high efficiency. The testing result shows that the average response time to system is far lower than both of forward reasoning and ordinary backward reasoning method in same circumstances.

Rule Engine Backward Reasoning Dynamic Programming Optimal Policy

BING XU SHI-YI XIE

College of Information Technology, Guangdong Ocean University, Zhanjiang 524088, China

国际会议

2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

昆明

英文

1389-1393

2008-07-12(万方平台首次上网日期,不代表论文的发表时间)