模糊神经网络技术在火灾探测信号处理中的应用  

Application of Fuzzy Neural Networks Technology in Fire Detection Signal Processing

作　　者：吴元翠[1] 童国华[1] WU Yuan-cui, TONG Guo-hua （Anhui Agricultural University, Hefei 230036, China）

机构地区：[1]安徽农业大学,安徽合肥230036

出　　处：《电脑知识与技术》2007年第8期707-708,共2页Computer Knowledge and Technology

摘　　要：本文结合火灾探测信号的特点,提出一种将模糊神经网络应用于火灾探测报警系统的方法,实现模糊神经网络系统的自学习和自适应功能。依据模糊神经网络算法的要求,完成了网络结构的设计,并用BP算法对网络进行学习和训练。有效提高火灾报警的准确性,减少了火灾报警系统漏报率和误报率。Connecting the characteristic of fire detection signal,this paper proposes a method of fire detection signal processing based on an fuzzy neural network, and realizes the automatic adjusting of design parameter in fuzzy system,According to the request of fuzzy neural network algorithm,the design of network configuration is accomplished and calculating model correspondingly is given,then using reformative PBalgorithm completes the network learning and training,It increases the accuracy of fire alaming and reduces the misinformation and missing information rate of the system,And the testing is proceeded according to national standard test fire data,and the emulate result shows the algorithm is the waliding and feasibility.

关 键 词：火灾探测 模糊控制 神经网络 BP算法 

分 类 号：TP18[自动化与计算机技术—控制科学与工程;自动化与计算机技术—控制理论与控制工程]