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"A perturbative approach for enhancing the performance of time series ..."

Paulo S. G. de Mattos Neto et al. (2017)

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DOI: 10.1016/J.NEUNET.2017.02.004

access: closed

type: Journal Article

metadata version: 2022-10-02

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Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira, Aranildo R. Lima, Germano C. Vasconcelos, George D. C. Cavalcanti:
A perturbative approach for enhancing the performance of time series forecasting. Neural Networks 88: 114-124 (2017)

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