借助于辨识的过量空气系数自适应神经网络模糊推理系统(ANFIS)模型，进行了静态空燃比前馈控制仿真。
By means of an identified adaptive neural fuzzy inference system (ANFIS) model of the excess air factor, the simulation of static state air fuel ratio feed-forward control was carried out.
应用修正的过量空气系数，提出基于最佳风煤比的在线识别燃烧优化控制系统。
This paper applies the amendatory exceed air coefficient and proposes an online optimum combustion system based on the best coal-air ratio.
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