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LUO Jianxu;SHAO Huihe
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应用多神经网络建立动态软测量模型
罗健旭;邵惠鹤
上海交通大学自动化研究所,上海 200030
Abstract: Since in practical industrial applications, soft sensors based on static models often lead to low accuracy and poor robustness, a multiple neural network (MNN) model is presented to develop dynamic soft sensors. The approach is applied to building a dynamic soft sensor estimating the production component in a simulated binary distillation unit and good results are obtained.
LUO Jianxu;SHAO Huihe. DEVELOPING DYNAMIC SOFT SENSORS USING MULTIPLE NEURAL NETWORKS[J]. .
罗健旭;邵惠鹤.
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URL: https://hgxb.cip.com.cn/EN/
https://hgxb.cip.com.cn/EN/Y2003/V54/I12/1770