摘要
提出了一种基于模糊神经网络获取模糊规则及其进行模糊系统参数学习的方法，通过实例进行了自动列车运行系统仿真，总结了这种方法的特点。结论表明，所提出的模糊规则生成和模糊系统学习方法是行之有效的。
Methods of fuzzy rules acquisition and fuzzy system parameters tuning based on fuzzy neural networks are proposed. Anexample is used to perform automatic train operation simulation. The characteristics of the method is summed up. Finally. Conclusionindicates that methods of fuzzy rules generation and fuzzy system tuning are very effective.
出处
《计算机工程》
CAS
CSCD
北大核心
1999年第10期45-46,85,共3页
Computer Engineering
基金
上海市重点学科资助项目!B971701
