Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/87934| Título: | The influence of the optimization algorithm in the solution of the fractional Laplacian equation by neural networks |
| Autor(es): | Coelho, C. Costa, M. Fernanda P. Ferrás, L. L. |
| Data: | 2023 |
| Editora: | AIP Publishing |
| Revista: | AIP Conference Proceedings |
| Resumo(s): | In this paper, the influence of the optimization algorithms Adam, RMSprop, L-BFGS and SGD with momentum on the solution of Fractional Laplacian Equation (FLE) by physics-informed neural networks is analysed when considering two different analytical solutions, one smooth and one non-smooth. The influence of the optimization method, the smoothness of the analytical solution and the network configuration on the accuracy of the predicted solution is discussed in detail |
| Tipo: | Artigo em ata de conferência |
| URI: | https://hdl.handle.net/1822/87934 |
| DOI: | 10.1063/5.0162230 |
| ISSN: | 0094-243X |
| Versão da editora: | https://pubs.aip.org/aip/acp/article/2849/1/220002/2909119/The-influence-of-the-optimization-algorithm-in-the |
| Arbitragem científica: | yes |
| Acesso: | Acesso aberto |
| Aparece nas coleções: |
Ficheiros deste registo:
| Ficheiro | Descrição | Tamanho | Formato | |
|---|---|---|---|---|
| paper_revised.pdf | 245,78 kB | Adobe PDF | Ver/Abrir |
