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Soft-sensing method based on modified ANN inversion and its application in erythromycin fermentation

机译:基于改进的人工神经网络反演的软传感方法及其在红霉素发酵中的应用

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摘要

In this paper, we modify the soft-sensing method based on ANN inversion. By using the non-state variables or the so-called function variables besides the state variables, the possibility in constructing the soft-sensing model will increase and the derivative order in soft-sensing model will be low. The simulation results verify that the soft-sensing method based on the modified ANN inversion is more accurate than the unmodified one.
机译:在本文中,我们修改了基于人工神经网络反演的软传感方法。通过使用除了状态变量之外的非状态变量或所谓的函数变量,构造软感模型的可能性将增加,并且软感模型中的导数阶数将较低。仿真结果表明,基于改进的人工神经网络反演的软传感方法比未经修正的方法更准确。

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