Abstract：This scheme combine the learning mechanism of neural network control with the human thinking and reasoning of fuzzy control．Neural network is used to implement membership function，and drive the fuzzy reasoning．Using neural network，fuzzy modeling，achieve the goal of refinement fuzzy rules．Thus it can be seen that the fuzzy control in the application of heating furnace is feasible，on the one hand，it can improve the control effect，improve the control precision，thus reducing the slab end temperature difference，improving the uniformity of the slab temperature，on the other hand，it can reduce the fuel consumption of the system，improve the yield and achieve the goal of energy conservation and environmental protection．
钟华春，李建华，张南风. 模糊神经网络在加热炉温度控制中的应用[J]. 中国冶金, 2014, 24(3): 18-20.
ZHONG Hua-chun，LI Jian-hua，ZHANG Nan-feng. Application of Fuzzy Neural Network in Temperature Control of Heating Furnace. China Metallurgy, 2014, 24(3): 18-20.
2014, Vol. 24 
