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Intelligent Control Algorithm of Electric-Fused Magnesia Furnace Based on Neural Network

机译:基于神经网络的电熔镁炉智能控制算法

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On the basis of the characteristics and requirements of electric-fused magnesia furnace and according to the difficulty of building the control model in actual situation, this chapter proposes the intelligent control method based on improved BP neural network. This chapter builds the control system model that is identified by the BP neural network, uses Matlab to simulate and analyze the control model and then obtains better control results, and confirms the feasibility and superiority of the control approach.
机译:根据电熔镁炉的特点和要求,并根据实际情况建立控制模型的难点,提出了一种基于改进的BP神经网络的智能控制方法。本章建立了由BP神经网络识别的控制系统模型,利用Matlab对控制模型进行仿真和分析,从而获得了较好的控制效果,证实了该控制方法的可行性和优越性。

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