摘要
研究了将模糊神经网络用于生产作业计划实际执行中遇到干扰时的再生方法．针对模糊的、难以表述和处理的干扰，设计了一个模糊神经网络，包括模糊子网和主体网络，前者根据隶属函数，将定性的模糊“干扰”量化后，参与网络的运算；后者根据模糊规则，将“干扰”定义为网络部分结点的作用函数．较好地解决了“干扰”知识的获取与处理问题．
A fuzzy neural network method for production rescheduling under disturbances is studied. For some disturbances being fuzzy or described and handled hard, a fuzzy neural network comprising fuzzy network and the main network is developed. The quantified disturbances is transferred to the membership functions in the fuzzy network, while the disturbances defined as the function of some nodes in the main network according to fuzzy rules. The description and handling of disturbances are solved satisfactorily.
出处
《华中理工大学学报》
CSCD
北大核心
1998年第7期65-67,共3页
Journal of Huazhong University of Science and Technology
基金
国家自然科学基金
国家教委博士点基金
湖北省自然科学基金
