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Bioprocess Modeling Using Fuzzy Regression Clustering and Genetic Programming
2006 6th World Congress on Intelligent Control and Automation
◽
10.1109/wcica.2006.1713808
◽
2006
◽
Author(s):
Yanling Wu
◽
Jiangang Lu
◽
Jian Xu
◽
Youxian Sun
Keyword(s):
Genetic Programming
◽
Fuzzy Regression
◽
Bioprocess Modeling
Download Full-text
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References
Development of Product Design Models Using Fuzzy Regression Based Genetic Programming
Computational Intelligence Techniques for New Product Design - Studies in Computational Intelligence
◽
10.1007/978-3-642-27476-3_6
◽
2012
◽
pp. 111-128
◽
Cited By ~ 2
Author(s):
Kit Yan Chan
◽
C. K. Kwong
◽
Tharam S. Dillon
Keyword(s):
Genetic Programming
◽
Product Design
◽
Fuzzy Regression
◽
Design Models
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A preference-based non-dominated sorting genetic programming for bioprocess modeling
Proceeding of the 11th World Congress on Intelligent Control and Automation
◽
10.1109/wcica.2014.7053762
◽
2014
◽
Author(s):
Wu Yanling
◽
Zhu Zhongliang
◽
Zhang Yuanyuan
Keyword(s):
Genetic Programming
◽
Bioprocess Modeling
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Modeling manufacturing processes using a genetic programming-based fuzzy regression with detection of outliers
Information Sciences
◽
10.1016/j.ins.2009.10.007
◽
2010
◽
Vol 180
(4)
◽
pp. 506-518
◽
Cited By ~ 37
Author(s):
K.Y. Chan
◽
C.K. Kwong
◽
T.C. Fogarty
Keyword(s):
Genetic Programming
◽
Fuzzy Regression
◽
Manufacturing Processes
◽
Detection Of Outliers
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Bioprocess Modeling Using Genetic Programming Based on a Double Penalty Strategy
Computational Intelligence and Security - Lecture Notes in Computer Science
◽
10.1007/11596448_137
◽
2005
◽
pp. 921-926
Author(s):
Yanling Wu
◽
Jiangang Lu
◽
Youxian Sun
◽
Peifei Yu
Keyword(s):
Genetic Programming
◽
Bioprocess Modeling
◽
Penalty Strategy
Download Full-text
Fuzzy regression: a genetic programming approach
KES'2000. Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies. Proceedings (Cat. No.00TH8516)
◽
10.1109/kes.2000.885828
◽
2002
◽
Cited By ~ 2
Author(s):
T. Feuring
◽
W. Golubski
◽
M. Gassmann
Keyword(s):
Genetic Programming
◽
Fuzzy Regression
◽
Programming Approach
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A multigene genetic programming-based fuzzy regression approach for modelling customer satisfaction based on online reviews
Soft Computing
◽
10.1007/s00500-020-05538-8
◽
2021
◽
Author(s):
Hanan Yakubu
◽
C. K. Kwong
◽
C. K. M. Lee
Keyword(s):
Customer Satisfaction
◽
Genetic Programming
◽
Online Reviews
◽
Fuzzy Regression
◽
Multigene Genetic Programming
◽
Regression Approach
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Multigene Genetic Programming Based Fuzzy Regression for Modelling Customer Satisfaction Based on Online Reviews
2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
◽
10.1109/ieem44572.2019.8978852
◽
2019
◽
Cited By ~ 1
Author(s):
H. Yakubu
◽
C. K. Kwong
Keyword(s):
Customer Satisfaction
◽
Genetic Programming
◽
Online Reviews
◽
Fuzzy Regression
◽
Multigene Genetic Programming
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New Results on Fuzzy Regression by Using Genetic Programming
Lecture Notes in Computer Science - Genetic Programming
◽
10.1007/3-540-45984-7_30
◽
2002
◽
pp. 308-315
◽
Cited By ~ 2
Author(s):
Wolfgang Golubski
Keyword(s):
Genetic Programming
◽
Fuzzy Regression
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A genetic programming based fuzzy regression approach to modelling manufacturing processes
International Journal of Production Research
◽
10.1080/00207540802644845
◽
2009
◽
Vol 48
(7)
◽
pp. 1967-1982
◽
Cited By ~ 31
Author(s):
K.Y. Chan
◽
C.K. Kwong
◽
Y.C. Tsim
Keyword(s):
Genetic Programming
◽
Fuzzy Regression
◽
Manufacturing Processes
◽
Regression Approach
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Practical Usages of a Neuro-genetic Programming for Short-term Water Level Prediction
International Conference on Biological, Environment and Food Engineering (BEFE-2014) August 4-5, 2014 Bali (Indonesia)
◽
10.15242/iicbe.c814068
◽
2014
◽
Keyword(s):
Genetic Programming
◽
Water Level
◽
Short Term
◽
Water Level Prediction
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