Artificial neural network approach to predict the mechanical properties of Cu-Sn-Pb-Zn-Ni cast alloys

Materials and Design

Volumn 30, Issue 3, 2009, Pages 764-769

  Ozerdem, Mehmet Sirac ^a   Kolukisa, Sedat ^a  

^a DICLE UNIVERSITY   (Turkey)

Author keywords

Artificial neural network; Cu Sn Pb Zn Ni cast alloys; Prediction of mechanical properties

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORKS; BACK-PROPAGATION ALGORITHMS; CAST ALLOYS; CHECK SYSTEMS; CU-SN-PB-ZN-NI CAST ALLOYS; LEARNING SETS; MULTI LAYERS; PREDICTION OF MECHANICAL PROPERTIES; TEST DATUMS; TRAINING PROCESSES; TRAINING SETS; YIELD STRENGTHS;

ALLOYS; BACKPROPAGATION; COPPER; COPPER ALLOYS; ELECTRIC FIELD EFFECTS; FORECASTING; IMAGE CLASSIFICATION; LEAD; LEAD ALLOYS; MECHANICAL PROPERTIES; METALLIC COMPOUNDS; NICKEL; NICKEL ALLOYS; STRENGTH OF MATERIALS; TIN; TIN ALLOYS; YIELD STRESS; ZINC;

NEURAL NETWORKS;

EID: 57149118632     PISSN: 02641275     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.matdes.2008.05.019     Document Type: Article

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