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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
出版日期:
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LUO Jianxu;SHAO Huihe
Online:
Published:
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.
罗健旭;邵惠鹤.
LUO Jianxu;SHAO Huihe. DEVELOPING DYNAMIC SOFT SENSORS USING MULTIPLE NEURAL NETWORKS[J]. .
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https://hgxb.cip.com.cn/CN/Y2003/V54/I12/1770
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