ARTIFICIAL NEURAL NETWORK: A MODULAR APPROACH

被引:0
|
作者
Castro, Catarina F. [1 ,2 ]
机构
[1] Univ Porto, Fac Engn, INEGI, Rua Campo Alegre 823, P-4100 Oporto, Portugal
[2] Univ Porto, Fac Engn, DEMec, P-4100 Oporto, Portugal
关键词
artificial neural network; modular approach; optimization; complex analysis;
D O I
暂无
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
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.
引用
收藏
页码:2213 / 2214
页数:2
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