A new method for structure identification of fuzzy models and its application to a combined cycle power plant
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Date
2001
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Abstract
This paper presents a new method for structure identification based on sensitivity analysis to determine the significant input variables of a fuzzy model. The sensitivity method is favorably compared against an heuristic method in two different examples. The proposed method is also used to develop fuzzy models for a combined cycle power plant from real time data.
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Keywords
fuzzy models, structure identification, combined cycle power plant