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Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)
The Application of Fuzzy Neural Network in the Iatrical Monitor
Haier International Training Center, Qingdao, China
July 30-August 01
ISBN: 0-7695-2909-7
ASCII Text
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Ping Chen, Mingbo Zhao, Shaoqing Jia, "The Application of Fuzzy Neural Network in the Iatrical Monitor," 2010 11th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, vol. 3, pp. 98-103, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007.
 
 
BibTex
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@article{ 10.1109/SNPD.2007.520,
author = {Ping Chen and Mingbo Zhao and Shaoqing Jia},
title = {The Application of Fuzzy Neural Network in the Iatrical Monitor},
journal ={2010 11th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing},
volume = {3},
year = {2007},
isbn = {0-7695-2909-7},
pages = {98-103},
doi = {http://doi.ieeecomputersociety.org/10.1109/SNPD.2007.520},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - 2010 11th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing
TI - The Application of Fuzzy Neural Network in the Iatrical Monitor
SN - 0-7695-2909-7
SP98
EP103
A1 - Ping Chen,
A1 - Mingbo Zhao,
A1 - Shaoqing Jia,
PY - 2007
KW - transfusion monitor
KW - Fuzzy Neural Network
KW - transfusion sensor
KW - MSP430
KW - step motor
VL - 3
JA - 2010 11th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing
ER -
 
Ping Chen, Shandong University of Technology, China
Mingbo Zhao, Shandong University of Technology, China
Shaoqing Jia, Shandong University of Technology, China
Due to the nonlinear, time-varying and time lagging property of the transfusion system, conventional control methods cannot achieve good performance in the real time monitoring. This paper proposes a method based on fuzzy neural network, which integrates the advantages of fuzzy logical control and neural network. It utilizes neural network to train fuzzy rules for fuzzy control. Error back propagation is adopted to realize the online self-learning when the control parameters are changed, which can quickly analyze the data and achieve intelligent control.
Index Terms:
transfusion monitor, Fuzzy Neural Network, transfusion sensor, MSP430, step motor
Citation:
Ping Chen, Mingbo Zhao, Shaoqing Jia, "The Application of Fuzzy Neural Network in the Iatrical Monitor," snpd, vol. 3, pp.98-103, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007
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