Neural network based prediction of mechanical properties of particulate reinforced metal matrix composites using various training algorithms

Materials and Design

Volumn 28, Issue 2, 2007, Pages 616-627

  Koker, Rasit ^a   Altinkok, Necat ^a   Demir, Adem ^a  

^a SAKARYA UNIVERSITY   (Turkey)

Author keywords

Artificial neural networks; Mechanical properties; Metal matrix composites production; Stir casting; Training algorithms

Indexed keywords

ALGORITHMS; ALUMINUM ALLOYS; BENDING STRENGTH; DUCTILITY; HARDNESS; METALLOGRAPHIC MICROSTRUCTURE; NEURAL NETWORKS;

BACK-PROPAGATION NEURAL NETWORK; LEVENBERG-MARQUARDT LEARNING ALGORITHM; PARTICULATE REINFORCED METAL MATRIX COMPOSITES; STIR CASTING PROCESS;

METALLIC MATRIX COMPOSITES;

ALGORITHMS; ALUMINUM ALLOYS; BENDING STRENGTH; DUCTILITY; HARDNESS; METALLIC MATRIX COMPOSITES; METALLOGRAPHIC MICROSTRUCTURE; NEURAL NETWORKS;

EID: 33750343158     PISSN: 02613069     EISSN: 18734197     Source Type: Journal    
DOI: 10.1016/j.matdes.2005.07.021     Document Type: Article

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