ARTIFICIAL NEURAL NETWORK: A MODULAR APPROACH

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2015

Autores

Catarina Castro (Autor) FEUP

Ata de Conferência Internacional

Título: Proceedings of the 6th International Conference on Mechanics and Materials in Design - M2D2015

Páginas: 2213-2214

6th International Conference on Mechanics and Materials in Design

Ponta Delgada/Azores, 26-30 July 2015

Indexação

ISI Web of Knowledge - 0 Citações

Outras Informações

ID Authenticus: P-00K-N0F

Abstract (EN): Artificial neural networks (ANNs) are computational performers which can be trained based on a set of examples. ANNs are powerful tools for modeling the highly nonlinear behavior of physiological data. A modular approach gives the possibility of incorporating knowledge into the modelling process through the use of a modular architecture that takes into account the existence of various regimes. The case study presented here addresses flow division in large vessel bifurcations.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 2