基于模糊神经网络的火灾事故处理专家系统研究

以系统科学和行为科学理论为基础,结合人工神经网络、模糊推理与计算机技术,形成基于模糊神经网络的火灾事故处理专家系统,在火灾发生时为事故处理指挥人员提供良好的决策支持.本文首先给出了基于模糊神经网络的火灾事故处理专家系统的总体框架（任务管理模块,知识库与数据库管理和维护,火灾事故模型管理系统,解释机构,推理机控制系统,信号采集与处理以及结果输出模块）,并说明了各模块的功能;然后着重介绍了该专家系统中知识表示与获取方法,即将计算智能与符号智能结合起来解决专家系统知识获取的“瓶颈”问题;最后介绍该专家系统中知识库建立的方法以及所采用的推理机制,即模糊推理与规则推理相结合的推理方法.

Research of city fire disposal experts system based on fuzzy neural network

According to the theory of system science and behavior science, combining artifical neural network and fuzzy reason method with computer technique, this paper proposes fire disposal experts system based on fuzzy neural network that provides the decision on fire disposal for fire commander during fire. Firstly, this paper proposes general frame of fire disposal experts system based on fuzzy neural network which comprises of task management module, management and maintenance of knowledge base and database, management system of fire model, interpretive mechanism, control system of reason machine, collect and dispose of signal and result output module, and shows function of each module. Secondly, it introduces the method of knowledge expression and knowledge acquisition in the experts system that combines calculation acquisition bottleneck question of experts system. Finally, it introduces the method of constructing repository and reason that combines fuzzy reason with rule reason.