【摘要】 针对传统智能建筑中火灾报警系统功能简单、定位困难且存在误报和漏报等问题,提出并介绍了基于模糊控制理论、人工神经网络的火灾安全报警系统以及系统的作用原理。该系统依靠模糊控制理论提高了灵敏度,减少了误报率,并结合神经网络具有自学习功能的特点,提高了整个系统的智能化程度。更多还原

【Abstract】 The fire security alarm system based on fuzzy control theory and artificial neuralnetwork is presented in the paper.The weaknesses in traditional fire alarm system are successfully overcomed.The system relies on the fuzzy control theory to improve the sensitivity,reduce the false alarm rate and raise the intelligence of system by self-learning function of neural network.更多还原