Nonlinear neural network (NN) control strategy, which was certified the high capacity of approximation, is adopted to control this typical nonlinear system.
本研究采用神经网络控制来解决这类非线性系统的控制问题。
To solve the problem of modeling temperature control in the fermentation process, a neural network nonlinear auto regressive moving average(NN-NARMA) modeling method for nonlinear system is proposed.
针对生物发酵过程中温度控制难以建模的问题，基于非线性自回归滑动平均（NARMA）模型，设计了神经网络自回归滑动平均（NN-NARMA）模型。
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