Hierarchical artificial neural network modelling of aluminum alloy properties used in die casting

International Journal of Advanced Manufacturing Technology

Volumn 104, Issue 1-4, 2019, Pages 1541-1550

  Munoz Ibanez C ^a   Alfaro Ponce, M ^b   Chairez, I ^c  

^a Centro de Investigaciones Químicas   (Mexico)

^b SCHOOL OF ENGINEERING AND SCIENCES   (Mexico)

^c INSTITUTO POLITÉCNICO NACIONAL   (Mexico)

Author keywords

Aluminum alloys; Back propagation; Hierarchical neural network; Semi parametric modelling

Indexed keywords

BACKPROPAGATION; DIE CASTING; METALS; NEURAL NETWORKS;

BACKPROPAGATION LEARNING; HIERARCHICAL ARTIFICIAL NEURAL NETWORKS; HIERARCHICAL NEURAL NETWORKS; INTERNATIONAL ORGANIZATIONS; LEVENBERG-MARQUARDT METHOD; NON-PARAMETRIC MODEL; NON-PARAMETRIC MODELLING; SEMIPARAMETRIC;

ALUMINUM ALLOYS;

EID: 85068858871     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-019-04019-z     Document Type: Article

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