介紹了基于模糊神經(jīng)網(wǎng)絡智能火災報警控制系統(tǒng)，在系統(tǒng)中應用了模糊控制理論既提高了系統(tǒng)的精度又最大限度的減少了系統(tǒng)的誤報率，解決了火災報警系統(tǒng)中長期存在的問題。結合具有自學習功能的神經(jīng)網(wǎng)絡算法，提高了系統(tǒng)的智能化程度，是現(xiàn)代智能控制理論在消防自動化系統(tǒng)中的應用。
關鍵詞： 神經(jīng)網(wǎng)絡 ； 模糊控制 ； 火災報警

Intelligent Fire Report and Control System Based on Fuzzy Neural Network Abstract: an intelligent fire report and control system based on fuzzy neural network is introduced, it increased the accuracy, the same time it reduced the misinformation rate in the biggest limit in the system, and resolve the problem which have exited in the fire alert system for a long time. Joined together with the Neural network that have the function of self-study, increased the intelligence of the system, and is a modern intelligence control theories apply in the fire fight automation system.
Key words: neural network ; fuzzy control ;fire report