模糊神经网络在船舶火灾报警系统中的应用

提出了一种利用神经网络和模糊系统理论设计船舶火灾报警系统的方法。该系统 模糊推理能力哟、神经网络学习能力强的特点，将模糊系统和神经网络结合起来，实现模糊系统设计的自动调整。利用感温式知因式传感器对火灾发生时温度和烟雾两个主要参量进行智能监测委 解决了报警灵敏度和误报率之间的矛盾。

Application of Fuzzy Neural Network to Ship Fire Alarm System

In this paper,a ship fire alarm system is designed using fuzzy system theory and neural network. The fuzzy system has superiority in inference and the neural network has superiority in learning. The design parameters of the fuzzy system can be adjusted automatically by combining the fuzzy system with the neural network. The contradiction of alarm sensitivity and false alarm rate is solved by intelligent monitoring of the temperature and aerosol,which are detected by temperature sensor and aerosol sensor in the system.