摘要
本文针对证券选择问题，根据神经网络理论，设计了带神经门处理器的ＢＰ网络专家系统决策工具，分析了决策工具的知识表示、获取和推理过程，提出了证券市场特征抽取的规范，进行了示范性的实验设计和仿真工作，结果表明这种新的决策工具设计合理可行．
In this paper, a tool for decision making of expert system is designed, which is based on neural network theory to pick security using BP networks with neural gates, the knowledge representation, acquisition and reasoning is analyzed. feature extraction of security market is presented, empirical design and simulation is progressed. The results show that the design of decision tool is correct and feasible.
出处
《系统工程理论方法应用》
1995年第2期60-65,共6页
Systems Engineering Theory·Methodology·Applications
