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دسته بندی:
سیستم های خبره - expert systems
سال انتشار:
2019
عنوان انگلیسی مقاله:
Prediction of displacement in the equine third metacarpal bone using a neural network prediction algorithm
ترجمه فارسی عنوان مقاله:
پیش بینی جابجایی در استخوان metacarpal سوم اسب با استفاده از الگوریتم پیش بینی شبکه عصبی
منبع:
Sciencedirect - Elsevier - Integrative Medicine Research, Corrected proof: doi:10:1016/j:bbe:2019:09:001
نویسنده:
Saeed Mouloodi a,b,*, Hadi Rahmanpanah c, Colin Burvill a, Helen MS Davies
چکیده انگلیسی:
Bone is a nonlinear, inhomogeneous and anisotropic material. To predict the behavior of
bones expert systems are employed to reduce the computational cost and to enhance the
accuracy of simulations. In this study, an artificial neural network (ANN) was used for the
prediction of displacement in long bones followed by ex-vivo experiments. Three hydrated
third metacarpal bones (MC3) from 3 thoroughbred horses were used in the experiments. A
set of strain gauges were distributed around the midshaft of the bones. These bones were
then loaded in compression in an MTS machine. The recordings of strains, load, Load
exposure time, and displacement were used as ANN input parameters. The ANN which was
trained using 3,250 experimental data points from two bones predicted the displacement of
the third bone (R2 ≥ 0.98). It was suggested that the ANN should be trained using noisy data
points. The proposed modification in the training algorithm makes the ANN very robust
against noisy inputs measurements. The performance of the ANN was evaluated in response
to changes in the number of input data points and then by assuming a lack of strain
data. A
finite element analysis (FEA) was conducted to replicate one cycle of force-displacement
experimental data (to gain the same accuracy produced by the ANN). The comparison
of FEA and ANN displacement predictions indicates that the ANN produced a satisfactory
outcome within a couple of seconds, while FEA required more than 160 times as long to solve
the same model (CPU time: 5 h and 30 min).
Keywords: Artificial neural network (ANN) | Displacement prediction | Finite element analysis (FEA) | Expert system | Long bones | Equine third metacarpal bone (MC3)
قیمت: رایگان
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