ARTIFICIAL NEURAL NETWORK: A MODULAR APPROACH

• Type: Article in International Conference Proceedings Book
• Date: 2015

Authors

Catarina Castro (Author) FEUP

Conference proceedings International

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

Pages: 2213-2214

6th International Conference on Mechanics and Materials in Design

Ponta Delgada/Azores, 26-30 July 2015

Indexing

ISI Web of Knowledge - 0 Citations

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