摘要
在分析产生式系统与神经网络特点的基础上，介绍了一种如何将规则库转换为神经网络形式以及利用神经网络的学习能力和并行处理能力改善产生式系统的性能的方法．给出了一个在数据融合中应用该方法对雷达进行分类的例子．
Based on the analysis of the features of production systems and neural network, a method for translating the production rule base into the neural network is presented. The goal is to use the neural networks learning ability and parallel processing ability to improve the performance of production systems. And then an exapmle using this method in data fusion to classify radar is given.
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
1998年第6期790-793,共4页
Journal of Xidian University
