Application of artificial neural network for prediction of the oxidation behavior of aluminized nano-crystalline nickel

Materials and Design

Volumn 42, Issue , 2012, Pages 308-316

  Rashidi, A M ^a   Hayati, M ^a   Rezaei, A ^b  

^a RAZI UNIVERSITY   (Iran)

^b Isalmic Azad University   (Iran)

Author keywords

Aluminized nanocrystalline coating; Artificial neural network; Modeling; Multi layer perceptron; Oxidation kinetics

Indexed keywords

ALUMINIZED COATING; ALUMINIZING PROCESS; EXPERIMENTAL DATA; EXPOSURE-TIME; MASS GAIN; MEAN RELATIVE ERROR; MULTI LAYER PERCEPTRON; MULTI-LAYER PERCEPTRON NEURAL NETWORKS; NANO-CRYSTALLINE NICKEL; NANOCRYSTALLINE COATINGS; NANOCRYSTALLINE NI; OPTIMAL STRUCTURES; OXIDATION BEHAVIORS; OXIDATION KINETICS;

BACKPROPAGATION ALGORITHMS; COATINGS; FORECASTING; MODELS; NEURAL NETWORKS; STRUCTURAL OPTIMIZATION;

OXIDATION;

EID: 84863471252     PISSN: 02641275     EISSN: 18734197     Source Type: Journal    
DOI: 10.1016/j.matdes.2012.06.011     Document Type: Article

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