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

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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

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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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