The application of compensatory fuzzy neural network in plastics thickness control system

被引：0

作者：

Yu, MH ^{[1
]}

Qu, SH ^{[1
]}

Jiang, CS ^{[1
]}

机构：

[1] Nanjing Univ Aeronaut & Astronaut, Automat Coll, Nanjing 210002, Peoples R China

来源：

2004 8TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION, VOLS 1-3 | 2004年

关键词：

BOPP film thickness; compensatory fuzzy neural network; self-organization competition NN;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

For BOPP control problems, Fuzzy NN has been applied to the field of BOPP control over BOPP film assembly line. Compensation Fuzzy NN is proposed in this paper, according to the theory of Compensation. Meanwhile, due to the Self-organization Competition NN, the parameters of the center and width, which represent membership of the Compensation Fuzzy NN, have been trained, so that the net weights are well optimized, the computation is also much reduced. The conclusion has been arrived from the Simulation results, that the robustness of the control system is improved, as well as its anti-jamming capacity.

引用

页码：2155 / 2159

页数：5

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