分布式网络局部学习方法及其在推断控制中的应用
Local Learning Methodology for Distributed Networks and its Application in Inferential Control
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摘要: 本文提出了分布式网络局部学习方法,并采用趋化性神经网络设计了一个非线性推断估 计器,对某大型气体分馏装置的丙烯丙烷精密精馏塔进行了推断控制,取得了令人满意的结果.Abstract: In this paper, Local learning methodology for distributed networks is proposed, and a chemotaxis network is adopted to design a nonlinear inferential estimator. Satisfactory results have been obtained from the inferential control application to a large-scale high purity distillation column.
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