Improving the accuracy of intelligent forecasting models using the Perturbation Theory

Eraylson. G. Silva, Domingos S. de O. Junior, George D. C. Cavalcanti, Paulo S. G. de Mattos Neto. Improving the accuracy of intelligent forecasting models using the Perturbation Theory. In 2018 International Joint Conference on Neural Networks, IJCNN 2018, Rio de Janeiro, Brazil, July 8-13, 2018. pages 1-7, IEEE, 2018. [doi]

Abstract

Abstract is missing.