A regression-tree multilayer-perceptron hybrid strategy for the prediction of ore crushing-plate lifetimes.

Juez-Gil, Mario; Erdakov, Ivan Nikolaevich; Bustillo, Andres; Pimenov, Danil Yurievich

Juez-Gil, Mario; Erdakov, Ivan Nikolaevich; Bustillo, Andres; Pimenov, Danil Yurievich.

Afiliação

Juez-Gil M; Department of Civil Engineering, Universidad de Burgos, Avda Cantabria s/n, Burgos 09006, Spain.
Erdakov IN; Foundry Department, South Ural State University, Lenin Prosp. 76, Chelyabinsk 454080, Russia.
Bustillo A; Department of Civil Engineering, Universidad de Burgos, Avda Cantabria s/n, Burgos 09006, Spain.
Pimenov DY; Department of Automated Mechanical Engineering, South Ural State University, Lenin Prosp. 76, Chelyabinsk 454080, Russia.

J Adv Res ; 18: 173-184, 2019 Jul.

Article em En | MEDLINE | ID: mdl-31032118

Palavras-chave

Artificial intelligence; Hadfield steel; Lifetime prediction; Multi-layer perceptrons; Regression trees; Resource savings

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google