Artificial neural network algorithm for prediction of displacement in equine third metacarpal bone

This abstract has open access
Abstract Summary
An artificial neural network (ANN) has recently been used in conjunction with finite element analysis (FEA) to study different aspects of bone tissue adaptation. Data is limited in the literature to predict displacement in long bones from the measurements of strains and load using ANN. An ANN which was trained using ex-vivo measurements of two long bones could successfully predict the displacement field of other bones (R2 > 0.997).
Submission ID :
UCB1981
Select an Abstract Type
Select a Topic

Abstracts With Same Type

Submission ID
Submission Title
Submission Topic
Submission Type
Primary Author
UCB1953
Modeling: General and simulation
Poster-Aug1
Paul Bolcos Paul Bolcos
UCB2077
Running: Biomechanics
Poster-Aug1
Kelsey Collins Kelsey Collins
UCB1585
Running: Biomechanics
Poster-Aug1
Daniel Davis Daniel Davis
UCB550
Locomotion: Clinical gait
Poster-Aug1
Mahboobeh Mehdikhani Mahboobeh Mehdikhani
UCB1987
Running: Biomechanics
Poster-Aug1
Christopher Galbreath Christopher Galbreath