摘要
提出证券投资的神经网络专家系统结构，设计了知识获取、推理机、知识库和人机界面４个部件，分析了神经网络专家系统的预前技术。证券投资的实验设计和仿真实验结果表明，这种新的专家系统设计合理可行。
In this paper, neural networks expert system of portofolio investment is presented. The knowledge acquisition, knowledge base, reasoning machine and interface department are designed.The probationary technique is analized. Empirical design and simulation are progressed.This design of decision tool is correct and feasible in the result.
出处
《控制与决策》
EI
CSCD
北大核心
1996年第1期41-46,共6页
Control and Decision
关键词
证券投资
神经网络
专家系统
金融
portofolio investment, neural networks, expert systems
