摘要
在层次分类诊断推理理论的基础上,构造出一种多重结构神经网络模型,以降低系统的复杂性,实现系统分层次构造、知识分系统学习和故障全局并行推理。
This paper presents a multi hierarchical neural network model on the basis of the hierarchical classsification diagnostic inference theory. The model is used to reduce the system complexity. And it is implemented that the system is constructed in hierarchic layers, knowledge learning is independent in subsystems and the fault reasoning is parallel in whole system.
出处
《上海海运学院学报》
1998年第4期2-6,共5页
Journal of Shanghai Maritime University
基金
上海市自然科学基金
交通部重点科技项目资助
关键词
神经网络
故障
诊断
层次分类
知识获取
neural networks, fault diagnosis, hierarchical classification
knowledge acquisition