Optimization of artificial neural network models through genetic algorithms for surface ozone concentration forecasting

Autor: Fernando G. Martins, J. F. B. Lima, A. J. B. Assembleia, B Gonçalves, Célia Alves, A. P. Carneiro, F. G. Azevedo, N. Rego, José C.M. Pires, P. A. Silva

Publikováno v: Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP

This study proposes three methodologies to define artificial neural network models through genetic algorithms (GAs) to predict the next-day hourly average surface ozone (O(3)) concentrations. GAs were applied to define the activation function in hidd

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bcb562080e2b551987c70a49a59ce12c
https://pubmed.ncbi.nlm.nih.gov/22382697