介紹了基于模糊神經(jīng)網(wǎng)絡(luò)智能火災(zāi)報(bào)警控制系統(tǒng)，在系統(tǒng)中應(yīng)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(bào)率，解決了火災(zāi)報(bào)警系統(tǒng)中長(zhǎng)期存在的問題。結(jié)合具有自學(xué)習(xí)功能的神經(jīng)網(wǎng)絡(luò)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(dòng)化系統(tǒng)中的應(yīng)用。
關(guān)鍵詞： 神經(jīng)網(wǎng)絡(luò) ； 模糊控制 ； 火災(zāi)報(bào)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