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Dergiler / Mathematical and Computational Applications / 2011 / Cilt: 16 - Sayı: 3

Simulation of hemodynamics in a graft-to-vein anastomoses by adaptive neuro-fuzzy based modeling

Nurullah ARSLAN
Ferhat KARACA
Sayfa
702–711
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The simulation results showed that this model is feasible for forecasting of finding the optimal AV graft angle inside AV graft to vein anastomoses with different flow rates.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:A new methodology for simulating the flow field inside an arteriovenous (AV) graft to vein anastomoses by the adaptive neuro fuzzy inference system (ANFIS) is presented in this study.
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Temel Bulgular & Veri:NFGVEIN was optimized by means of selection of the algorithm among 34 ANFIS algorithms by terms of minimal error.
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Sonuç & Katkı:The simulation results showed that this model is feasible for forecasting of finding the optimal AV graft angle inside AV graft to vein anastomoses with different flow rates.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Abstract

A new methodology for simulating the flow field inside an arteriovenous (AV) graft to vein anastomoses by the adaptive neuro fuzzy inference system (ANFIS) is presented in this study. For determining the optimal AV graft angle, an ANFIS-based model of neuro fuzzy-graft-vein (NF-GVEIN) is proposed. Therefore engineering design of the graft can be supported. The advantage of this neuro-fuzzy hybrid model is that it does not require the model structure to be known a priori, in contrast to most of the modeling techniques. A case study with real experimental data was carried out. NFGVEIN was optimized by means of selection of the algorithm among 34 ANFIS algorithms by terms of minimal error. The optimal neural network structure was determined. The optimal AV graft angle causing the least turbulence was obtained. The simulation results showed that this model is feasible for forecasting of finding the optimal AV graft angle inside AV graft to vein anastomoses with different flow rates.

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Bu Makaleye Atıf Yap

ARSLAN, N., KARACA, F. (2011). Simulation of hemodynamics in a graft-to-vein anastomoses by adaptive neuro-fuzzy based modeling. Mathematical and Computational Applications, Cilt: 16 - Sayı: 3, 702–711. https://ajindex.com/articles/280314

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Kaynakça (13)

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