Sabiia Seb
PortuguêsEspañolEnglish
Embrapa
Home Itens selecionados Provedores de dados OAI Créditos Sobre Ajuda
        Busca avançada

Botão Atualizar

Botão Atualizar

Ordenar por: 

RelevânciaAutorTítuloAnoImprime registros no formato resumido
Registros recuperados: 1
Primeira ... 1 ... Última
Imagem não selecionada

Imprime registro no formato completo
Prediction of the tractor tire contact area, contact volume and rolling resistance using regression model and artificial neural network CIGR Journal
Farhadi, Payam; Golmohammadi, Abdollah; Sharifi Malvajerdi, Ahmad; Shahgholi, Gholamhossein.
A novel method to estimate the contact area and contact volume was developed with molding the tire footprint by liquid plaster and converting these molds to three-dimensional models using a 3D scanner. A 12.4-28, 6 ply tractor tire was operated under three levels of vertical load, three levels of inflation pressure and three levels of soil moisture content. To analyses the obtained data regression and Artificial Neural Network (ANN) models were used and the accuracy of predicted results were compared with measured data. A multi-layer perceptron feed-forward ANN with back propagation (BP) learning algorithm was employed. Two hidden layers were used in network architecture and the best number of neuron for each hidden layer was selected with attention to...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Artificial Neural Network (ANN); Contact area; Contact volume; Rolling resistance; Three-dimensional footprint.
Ano: 2019 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/5438
Registros recuperados: 1
Primeira ... 1 ... Última
 

Empresa Brasileira de Pesquisa Agropecuária - Embrapa
Todos os direitos reservados, conforme Lei n° 9.610
Política de Privacidade
Área restrita
Embrapa
Parque Estação Biológica - PqEB s/n°
Brasília, DF - Brasil - CEP 70770-901
Fone: (61) 3448-4433 - Fax: (61) 3448-4890 / 3448-4891 SAC: https://www.embrapa.br/fale-conosco

Valid HTML 4.01 Transitional