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