Artificial neural network approach to predict the electrical conductivity and density of Ag-Ni binary alloys

Journal of Materials Processing Technology

Volumn 208, Issue 1-3, 2008, Pages 470-476

  Ozerdem, Mehmet Sirac ^a  

^a DICLE UNIVERSITY   (Turkey)

Author keywords

Artificial neural network; Density; Electrical conductivity; Silver nickel binary alloys

Indexed keywords

ALLOYS; BACKPROPAGATION; ELECTRIC CONDUCTIVITY; GRADIENT METHODS; IMAGE CLASSIFICATION; LEARNING ALGORITHMS; LEARNING SYSTEMS; METALLIC COMPOUNDS; NEURAL NETWORKS; NICKEL; NICKEL ALLOYS; SILVER; SILVER ALLOYS;

ANN TRAINING; ARTIFICIAL NEURAL NETWORK; BACK-PROPAGATION NEURAL NETWORK; DENSITY; ELECTRICAL CONDUCTIVITY; GRADIENT DESCENT LEARNING ALGORITHM; SILVER-NICKEL BINARY ALLOYS; SYSTEM ACCURACY; TEST DATA; TRAINING PROCESSES; TRAINING SETS;

BINARY ALLOYS;

EID: 52949147141     PISSN: 09240136     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jmatprotec.2008.01.016     Document Type: Article

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