HUMAN KNEE SIMULATION USING MULTILAYER PERCEPTRON ARTIFICIAL NEURAL NETWORK
Atena
HUMAN KNEE SIMULATION USING MULTILAYER PERCEPTRON ARTIFICIAL NEURAL NETWORK
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DOI: 10.22533/at.ed.38419160121
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Palavras-chave: Atena
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Keywords: MLP, ANN, Back-propagation
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Abstract:
This work intends to show the
usage of a Multilayer Perceptron Artificial Neural
Network (MLP ANN) to simulate the human
knee, more precisely, its angular velocities. The
MLP was chosen due to its ability to converge in
non-linear problems and, so, form more complex
separating boundaries for the problems. This
is an open source project and its source code
is available at https://github.com/rob-nn/mlp_
knee.
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Número de páginas: 15
- Ithallo Junior Alves Guimarães