Modeling and optimization for microstructural properties of Al/SiC nanocomposite by artificial neural network and genetic algorithm

Expert Systems with Applications

Volumn 41, Issue 13, 2014, Pages 5817-5831

  Esmaeili, R ^a   Dashtbayazi, M R ^a  

^a SHAHID BAHONAR UNIVERSITY OF KERMAN   (Iran)

Author keywords

Feed forward neural network; Genetic algorithm; Mechanical alloying; Metal matrix nanocomposites; Microstructures

Indexed keywords

ALUMINUM; CRYSTALLITE SIZE; MECHANICAL ALLOYING; METALLIC MATRIX COMPOSITES; MICROSTRUCTURE; MILLING (MACHINING); NANOCOMPOSITES; NEURAL NETWORKS; OPTIMIZATION; POWDER METALS; PROFILOMETRY;

AL/SIC NANOCOMPOSITES; FEED-FORWARD BACK PROPAGATION; METAL MATRIX NANO COMPOSITES; MICRO-STRUCTURAL PROPERTIES; MODELING AND OPTIMIZATION; NEURAL NETWORK MODEL; PROCESS PARAMETERS; PROCESS VARIABLES;

GENETIC ALGORITHMS;

EID: 84899695076     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2014.03.038     Document Type: Article

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