Single-step-ahead and multi-step-ahead prediction with evolutionary artificial neural networks

Víctor Manuel Landassuri-Moreno, Carmen L. Bustillo-Hernández, José Juan Carbajal-Hernández, Luis P. Sańchez Fernández

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferencia

2 Citas (Scopus)

Resumen

In recent years, Evolutionary Algorithms (EAs) have been remarkably useful to improve the robustness of Artificial Neural Networks (ANNs). This study introduces an experimental analysis using an EAs aimed to evolve ANNs architectures (the FS-EPNet algorithm) to understand how neural networks are evolved with a steady-state algorithm and compare the Single-step-ahead (SSP) and Multiple-step-ahead (MSP) methods for prediction tasks over two test sets. It was decided to test an inside-set during evolution and an outside-set after the whole evolutionary process has been completed to validate the generalization performance with the same method (SSP or MSP). Thus, the networks may not be correctly evaluated (misleading fitness) if the single SSP is used during evolution (inside-set) and then the MSP at the end of it (outside-set). The results show that the same prediction method should be used in both evaluation sets providing smaller errors on average. © Springer-Verlag 2013.
Idioma originalInglés estadounidense
Título de la publicación alojadaSingle-step-ahead and multi-step-ahead prediction with evolutionary artificial neural networks
Páginas65-72
Número de páginas57
ISBN (versión digital)9783642418211
DOI
EstadoPublicada - 1 dic 2013
EventoLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) -
Duración: 1 ene 2014 → …

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen8258 LNCS
ISSN (versión impresa)0302-9743

Conferencia

ConferenciaLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Período1/01/14 → …

    Huella digital

Citar esto

Landassuri-Moreno, V. M., Bustillo-Hernández, C. L., Carbajal-Hernández, J. J., & Sańchez Fernández, L. P. (2013). Single-step-ahead and multi-step-ahead prediction with evolutionary artificial neural networks. En Single-step-ahead and multi-step-ahead prediction with evolutionary artificial neural networks (pp. 65-72). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8258 LNCS). https://doi.org/10.1007/978-3-642-41822-8_9