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Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05)
Intelligent Compaction Control Based on Fuzzy Neural Network
Dalian, China
December 05-December 08
ISBN: 0-7695-2405-2
ASCII Text
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JU Yongfeng, LIN Guangfeng, FAN Yindi, LIU Zongyi, "Intelligent Compaction Control Based on Fuzzy Neural Network," Parallel and Distributed Computing Applications and Technologies, International Conference on, pp. 930-934, Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05), 2005.
 
 
BibTex
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@article{ 10.1109/PDCAT.2005.156,
author = {JU Yongfeng and LIN Guangfeng and FAN Yindi and LIU Zongyi},
title = {Intelligent Compaction Control Based on Fuzzy Neural Network},
journal ={Parallel and Distributed Computing Applications and Technologies, International Conference on},
volume = {0},
year = {2005},
isbn = {0-7695-2405-2},
pages = {930-934},
doi = {http://doi.ieeecomputersociety.org/10.1109/PDCAT.2005.156},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Parallel and Distributed Computing Applications and Technologies, International Conference on
TI - Intelligent Compaction Control Based on Fuzzy Neural Network
SN - 0-7695-2405-2
SP930
EP934
A1 - JU Yongfeng,
A1 - LIN Guangfeng,
A1 - FAN Yindi,
A1 - LIU Zongyi,
PY - 2005
KW - null
VL - 0
JA - Parallel and Distributed Computing Applications and Technologies, International Conference on
ER -
 
JU Yongfeng, Changan University, Xi'an China
LIN Guangfeng, Changan University, Xi'an China
FAN Yindi, Shaanxi College of Communication Technology, Xi'an, China
LIU Zongyi, Xi'an Institute of Surveying and Mapping, Xi'an
The paper studies fuzzy neural network theory and establishes structures of fuzzy neural network for intelligent compaction control. For compaction performance of a roller, fuzzy neural network parameters are self-corrected by learning algorithms of compensatory fuzzy neural network. Fuzzy control rules table that was educed in practice is looked at as training samples of fuzzy neural network. Simulation results show that the fuzzy neural network controller has generalization ability in error bound.
Citation:
JU Yongfeng, LIN Guangfeng, FAN Yindi, LIU Zongyi, "Intelligent Compaction Control Based on Fuzzy Neural Network," pdcat, pp.930-934, Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05), 2005
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