Corpus ID: 237581215

Meta-Model Structure Selection: Building Polynomial NARX Model for Regression and Classification

@article{Jnior2021MetaModelSS,
  title={Meta-Model Structure Selection: Building Polynomial NARX Model for Regression and Classification},
  author={Wilson R. Lacerda J{\'u}nior and Samir A. M. Martins and Erivelton Geraldo Nepomuceno},
  journal={ArXiv},
  year={2021},
  volume={abs/2109.09917}
}
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 parsimonious models by proposing a new cost function formulation. The robustness of the new algorithm is tested on several simulated and experimental system with different nonlinear characteristics. The obtained results show that the proposed algorithm is… Expand

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