Neural network control system for rotary kiln based on features of combustion flame

被引：0
|
作者：
Li, Shu-Tao [1 ]
Wang, Yao-Nan [1 ]
Zhang, Chang-Fan [1 ]
机构：
[1] Coll. of Elec. and Info., Hunan Univ., Changsha 410082, China
来源：
Zidonghua Xuebao/Acta Automatica Sinica | 2002年 / 28卷 / 04期
关键词：
Algorithms - Control systems - Feature extraction - Functions - Fuzzy sets - Image processing - Neural networks;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A neural network control system for rotary kiln based on features of combustion flame is proposed. The system consists of two main parts. One is status recognition system of calcine band flame, which is composed of image capturing, preprocessing, segmentation, feature extraction and pattern recognition. The other is neural network control system using Gaussian potential function network(GPFN). The practical operating results illustrate effectiveness and practicability of the proposed system.
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页码：591 / 595
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