Burning state recognition of rotary kiln using ELMs with heterogeneous features-Reference-Cited by-同舟云学术

Burning state recognition of rotary kiln using ELMs with heterogeneous features

Published:2013-02 Issue: Volume:102 Page:144-153
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Li Weitao,Wang Dianhui,Chai Tianyou

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference38 articles.

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3. Intelligent control system of an industrial lime kiln process;Jarvensivu;Control Eng. Pract.,2001

4. X.J. Zhou, T.Y. Chai, Pattern-based hybrid intelligent control for rotary kiln process, in: IEEE International Conference on Control Applications, Singapore, 2007, pp. 31–35.

5. P. Sun, T.Y. Chai, X.J. Zhou, Rotary kiln flame image segmentation based on FCM and Gabor wavelet based texture coarseness, in: 7th World Congress on Intelligent Control and Automation, Chongqing, China, 2008, pp. 7615–7620.

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