La presente memoria consta de 3 capítulos en donde se realizan estudios de los problemas de contraste de hipótesis acerca de la bondad de modelos ARMA y MARMA de series temporales. ... Nuestro trabajo se ha centrado en el problema del contraste del modelo, donde da la complejidad del mismo los métodos habituales no son siempre fáciles de...
-
April 16, 2015 (v1)PublicationUploaded on: March 27, 2023
-
February 12, 2024 (v1)Publication
This paper presents a procedure to add broader diversity at the beginning of the evolutionary process. It consists of creating two initial populations with different parameter settings, evolving them for a small number of generations, selecting the best individuals from each population in the same proportion and combining them to constitute a...
Uploaded on: February 14, 2024 -
July 12, 2016 (v1)Publication
Radial Basis Function Neural Networks (RBFNNs) have been successfully employed in several function approximation and pattern recognition problems. The use of different RBFs in RBFNN has been reported in the literature and here the study centres on the use of the Generalized Radial Basis Function Neural Networks (GRBFNNs). An interesting...
Uploaded on: March 27, 2023 -
July 13, 2016 (v1)Publication
This paper combines feature selection methods with a two-stage evolutionary classifier based on product unit neural networks. The enhanced methodology has been tried out with four filters using 18 data sets that report test error rates about 20 % or above with reference classifiers such as C4.5 or 1-NN. The proposal has also been evaluated in...
Uploaded on: December 4, 2022 -
June 13, 2016 (v1)Publication
This paper introduces a methodology that improves the accuracy of a two-stage algorithm in evolutionary product unit neural networks for classification tasks by means of feature selection. A couple of filters have been taken into consideration to try out the proposal. The experimentation has been carried out on seven data sets from the UCI...
Uploaded on: December 4, 2022 -
April 27, 2016 (v1)Publication
This paper proposes a Radial Basis Function Neural Network (RBFNN) which reproduces different Radial Basis Functions (RBFs) by means of a real parameter q, named q-Gaussian RBFNN. The architecture, weights and node topology are learnt through a Hybrid Algorithm (HA) with the iRprop + algorithm as the local improvement procedure. In order to...
Uploaded on: December 4, 2022 -
January 14, 2016 (v1)Publication
Las infestaciones de malas hierbas precisan del uso de herbicidas para controlar la calidad y el rendimiento de los cultivos. Aunque las malas hierbas con frecuencia se distribuyen en rodales o agregados, la práctica más extendida es la aplicación de herbicidas en todo el cultivo, resultando en un aumento de los costes. El control localizado de...
Uploaded on: December 4, 2022