NDLI: Bioprocess Modeling Using Fuzzy Regression Clustering and Genetic Programming

Content Provider	IEEE Xplore Digital Library
Author	Yanling Wu Jiangang Lu Jian Xu Youxian Sun
Copyright Year	2006
Description	Author affiliation: Nat. Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou (Yanling Wu; Jiangang Lu; Jian Xu; Youxian Sun)
Abstract	In an industrial avermection bioprocess, there are some different phases and some interims, so using fuzzy clustering technique to partition the whole process and using several models to represent these different phases respectively is more reasonable. Here, we built a fuzzy model for the bioprocess by a mixture method which integrates fuzzy regression clustering technique, genetic programming (GP), genetic algorithm (GA) and interpolation technique. Fuzzy regression clustering technique is used to partition the whole input space into several subspaces based on whether the training data having a similar model which is identified by GP, GA is used to optimizes the parameters of these models and interpolation technique used to define the membership grade for the input data. By this approach, we can fuzzily partition the whole process, find the structures of models which represent subspaces respectively and estimate the parameters simultaneously. Moreover, it has more chance to get a solution with better generalization
Starting Page	9337
Ending Page	9341
File Size	175813
Page Count	5
File Format	PDF
ISBN	1424403324
DOI	10.1109/WCICA.2006.1713808
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Genetic programming Biological system modeling Power system modeling Genetic algorithms Interpolation Parameter estimation Research and development Training data Production Sun Fuzzy regression clustering genetic programming interpolation technique regression models
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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