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ARTIFICIAL NEURAL NETWORK: A MODULAR APPROACH
Title
ARTIFICIAL NEURAL NETWORK: A MODULAR APPROACH
Type
Article in International Conference Proceedings Book
Year
2015
Authors
Catarina Castro
(Author)
FEUP
Conference proceedings International
Title:
Proceedings of the 6th International Conference on Mechanics and Materials in Design - M2D2015
Search for Conference Proceedings Publications
Pages: 2213-2214
6th International Conference on Mechanics and Materials in Design
Ponta Delgada/Azores, 26-30 July 2015
Indexing
Other information
Authenticus ID:
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.
Language:
English
Type (Professor's evaluation):
Scientific
No. of pages:
2
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