Evolving fuzzy inferential sensors for process industry
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- @InProceedings{Angelov:2008:GEFS,
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author = "Plamen Angelov and Arthur Kordon and Xiaowei Zhou",
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title = "Evolving fuzzy inferential sensors for process
industry",
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booktitle = "3rd International Workshop on Genetic and Evolving
Fuzzy Systems, GEFS 2008",
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year = "2008",
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month = "4-7 " # mar,
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address = "Witten-Boommerholz, Germany",
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pages = "41--46",
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keywords = "genetic algorithms, genetic programming, Dow Chemical
Company, Takagi-Sugeno-fuzzy system, fuzzy inferential
sensor, multi-objective genetic-programming-based
optimization, on-line input selection techniques,
on-line learning algorithm, process industry,
self-tuning inferential soft sensor, chemical industry,
fuzzy set theory, fuzzy systems, sensors",
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DOI = "doi:10.1109/GEFS.2008.4484565",
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abstract = "This paper describes an approach to design
self-developing and self-tuning inferential soft
sensors applicable to process industries. The proposal
is for a Takagi-Sugeno-fuzzy system framework that has
evolving (open structure) architecture, and an on-line
(possibly real-time) learning algorithm. The proposed
methodology is novel and it addresses the problems of
self-development and self-calibration caused by drift
in the data patterns due to changes in the operating
regimes, catalysts aging, industrial equipment wearing,
contamination etc. The proposed computational technique
is data-driven and parameter-free (it only requires a
couple of parameters with clear meaning and suggested
values). In this paper a case study of four problems of
estimation of chemical properties is considered,
however, the methodology has a much wider validity. The
optimal inputs to the proposed evolving inferential
sensor are determined a priori and off-line using a
multi-objective genetic-programming-based optimization.
Different on-line input selection techniques are under
development. The methodology is validated on real data
provided by the Dow Chemical Company, USA.",
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notes = "Also known as \cite{4484565}",
- }
Genetic Programming entries for
Plamen Angelov
Arthur K Kordon
Xiaowei Zhou
Citations