Abstract
AbstractIn this paper, the concept of regression models is extended to handle hybrid data from various sources that quite often exhibit diverse levels of data quality specifically in nuclear power plants. The major objective of this study is to develop a convex hull method as a potential vehicle which reduces the computing time, especially in the case of real-time data analysis as well as minimizes the computational complexity. We propose an efficient real-time fuzzy switching regression analysis based on a convex hull approach, in which a beneath-beyond algorithm is used in building a convex hull when alleviating limitations of a linear programming in system modeling. Additionally, the method addresses situations when we have to deal with heterogeneous data.KeywordsConvex HullNuclear Power PlantFuzzy RegressionSwitching RegressionLinear Fuzzy RegressionThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Published Version
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