Strategies for time series forecasting with generalized regression neural networks

Autor: Martínez, Francisco, Charte, Francisco, Frías, María Pilar, Martínez-Rodríguez, Ana María

Publikováno v: In Neurocomputing 28 June 2022 491:509-521

Detecting hidden periodicities for models with cyclical errors

Autor: Frías, María Pilar, Ivanov, Alexander V., Leonenko, Nikolai, Martínez, Francisco, Ruiz-Medina, María Dolores

In this paper, the estimation of parameters in the harmonic regression with cyclically dependent errors is addressed. Asymptotic properties of the least-squares estimates are analyzed by simulation experiments. By numerical simulation, we prove that

Externí odkaz: http://arxiv.org/abs/1504.00917

A methodology for applying k-nearest neighbor to time series forecasting.

Autor: Martínez, Francisco, Frías, María Pilar, Pérez, María Dolores, Rivera, Antonio Jesús

Publikováno v: Artificial Intelligence Review; Oct2019, Vol. 52 Issue 3, p2019-2037, 19p

CO2RBFN for Short and Medium Term Forecasting of the Extra-Virgin Olive Oil Price.

Autor: Pérez-Godoy, M. D., Pérez-Recuerda, P., Frías, María Pilar, Rivera, A. J., Carmona, C. J., Parras, Manuel

Publikováno v: Nature Inspired Cooperative Strategies for Optimization (nicso 2010); 2010, p113-125, 13p

Photodynamic Therapy: Influence of Clinical and Procedure Variables on Treatment Response in Basal Cell Carcinoma and Bowen Disease.

Autor: Gracia-Cazaña T; Department of Dermatology, Hospital de Barbastro. Av Pirineos nº 11 1ºA, P.O. Box: 22011, ES-22300 Barbastro, Spain. tamgracaz@gmail.com., Mascaraque M, Salazar N, Vera-Álvarez J, Frías MP, González S, Juarranz Á, Gilaberte Y

Publikováno v: Acta dermato-venereologica [Acta Derm Venereol] 2018 Jan 12; Vol. 98 (1), pp. 116-118.