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为炼油用低压加热炉设计了一种模糊控制器，并研究了用多层前馈神经网络实现模糊控制的方法．仿真研究表明，所设计的神经网络系统不仅能完全体现模糊控制各部分的功能，而且具有很高的灵活性和通用性．
A fuzzy controller is designed for the low pressure reheating furnace for oil refinery. The method of fuzzy control with multilayer feedforward neural network is also studied. Simulation studies show that the designed neural network system can not only fully reflect the function of each part of fuzzy control, but also has high flexibility and universality.