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capa do ebook HUMAN KNEE SIMULATION USING MULTILAYER PERCEPTRON ARTIFICIAL NEURAL NETWORK

HUMAN KNEE SIMULATION USING MULTILAYER PERCEPTRON ARTIFICIAL NEURAL NETWORK

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HUMAN KNEE SIMULATION USING MULTILAYER PERCEPTRON ARTIFICIAL NEURAL NETWORK

  • DOI: 10.22533/at.ed.38419160121

  • Palavras-chave: Atena

  • Keywords: MLP, ANN, Back-propagation

  • 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.

  • Número de páginas: 15

  • Ithallo Junior Alves Guimarães
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