作者: Krystian Łapa , Krzysztof Cpałka
DOI: 10.1007/978-3-319-46583-8_13
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摘要: In this paper a weighted fuzzy genetic programming algorithm for selection of structure and parameters systems nonlinear modelling is proposed. This method based on innovations in concern, among the others, using weights aggregation operators, rules, fitness function criteria designed dynamic links between rules base. The proposed was tested with use typical problems.