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pro vyhledávání: '"Junior, W. R. Lacerda"'
This work presents a new meta-heuristic approach to select the structure of polynomial NARX models for regression and classification problems. The method takes into account the complexity of the model and the contribution of each term to build parsim
Externí odkaz:
http://arxiv.org/abs/2109.09917
This work presents a new meta-heuristic approach to model structure selection of polynomial NARX models. In this respect, the technique penalizes the models based on the individual contribution of each regressor in representing the system. The new al
Externí odkaz:
http://arxiv.org/abs/1911.05205