skip to main content
Idioma:
Refinado por: Título de revista: International Workshop Advanced Technologies In Material Science, Mechanical And Automation Engineering - Mip: Engineering - 2019 eliminar Institute of Physics Journals eliminar EZB Electronic Journals Library eliminar materia: Neural Networks eliminar Iop Conference Series. Materials Science And Engineering eliminar
Result Number Material Type Add to My Shelf Action Record Details and Options
1
Using neural network models in the quality management system for the software defect prediction
Using neural network models in the quality management system for the software defect prediction
Material Type:
Artículo 		Añadir a Mi Portal

Using neural network models in the quality management system for the software defect prediction

Danilov, A D ; Samotsvet, D A ; Mugatina, V M

IOP conference series. Materials Science and Engineering, 2019-05, Vol.537 (4), p.42038 [Revista revisada por pares]

Bristol: IOP Publishing

Texto completo disponible

Citas Citado por
2
Control and preprocessing of graphic data for effective dynamic object recognition
Control and preprocessing of graphic data for effective dynamic object recognition
Material Type:
Artículo 		Añadir a Mi Portal

Control and preprocessing of graphic data for effective dynamic object recognition

Pakhomova, O A ; Kravets, O Ja

IOP conference series. Materials Science and Engineering, 2019-05, Vol.537 (5), p.52002 [Revista revisada por pares]

Bristol: IOP Publishing

Texto completo disponible

Citas Citado por
3
Neural network classification of surface quality after hard turning of 105WCr6 steel
Neural network classification of surface quality after hard turning of 105WCr6 steel
Material Type:
Artículo 		Añadir a Mi Portal

Neural network classification of surface quality after hard turning of 105WCr6 steel

Rastorguev, D A ; Sevastyanov, A A

IOP conference series. Materials Science and Engineering, 2019-05, Vol.537 (3), p.32056 [Revista revisada por pares]

Bristol: IOP Publishing

Texto completo disponible

Citas Citado por
4
Identification of vegetation types and its boundaries using artificial neural networks
Identification of vegetation types and its boundaries using artificial neural networks
Material Type:
Artículo 		Añadir a Mi Portal

Identification of vegetation types and its boundaries using artificial neural networks

Saltykov, M ; Yakubailik, O ; Bartsev, S

IOP conference series. Materials Science and Engineering, 2019-05, Vol.537 (6), p.62001 [Revista revisada por pares]

Bristol: IOP Publishing

Texto completo disponible

Citas Citado por
5
Comparison of the neural net training algorithms for the emergencies forecasting of technological processes
Comparison of the neural net training algorithms for the emergencies forecasting of technological processes
Material Type:
Artículo 		Añadir a Mi Portal

Comparison of the neural net training algorithms for the emergencies forecasting of technological processes

Tkalich, S A ; Burkovsky, V L ; Kravets, O Ja

IOP conference series. Materials Science and Engineering, 2019-05, Vol.537 (3), p.32040 [Revista revisada por pares]

Bristol: IOP Publishing

Texto completo disponible

Citas Citado por
6
Durability prognostication of ferroconcrete structures on the basis of neural indistinct networks
Durability prognostication of ferroconcrete structures on the basis of neural indistinct networks
Material Type:
Artículo 		Añadir a Mi Portal

Durability prognostication of ferroconcrete structures on the basis of neural indistinct networks

Tkalich, S A ; Taratynov, O Yu

IOP conference series. Materials Science and Engineering, 2019-05, Vol.537 (2), p.22038 [Revista revisada por pares]

Bristol: IOP Publishing

Texto completo disponible

Citas Citado por
7
Data distribution system: clustering based on neural network technologies
Data distribution system: clustering based on neural network technologies
Material Type:
Artículo 		Añadir a Mi Portal

Data distribution system: clustering based on neural network technologies

Vikulov, E O ; Denisova, L A

IOP conference series. Materials Science and Engineering, 2019-05, Vol.537 (5), p.52030 [Revista revisada por pares]

Bristol: IOP Publishing

Texto completo disponible

Citas Citado por

  • Realización: ABCD-USP USP   Logos de Redes Sociales: Freepik

Buscando en bases de datos remotas, por favor espere

  • Buscando por
  • enscope:(USP_VIDEOS),scope:("PRIMO"),scope:(USP_FISICO),scope:(USP_EREVISTAS),scope:(USP),scope:(USP_EBOOKS),scope:(USP_PRODUCAO),primo_central_multiple_fe
  • Mostrar lo que tiene hasta ahora