Predicting lattice constant of complex cubic perovskites using computational intelligence

Computational Materials Science

Volumn 50, Issue 6, 2011, Pages 1879-1888

  Majid, Abdul ^a,b   Khan, Asifullah ^a,b   Choi, Tae Sun ^b  

^a PAKISTAN INSTITUTE OF ENGINEERING AND APPLIED SCIENCES   (Pakistan)

^b Gwangju Institute of Science and Technology (GIST)   (South Korea)

Author keywords

Complex cubic perovskites; Generalized regression neural network; Lattice constant; Multiple linear regression; Random forest; Support vector regression

Indexed keywords

CUBIC PEROVSKITE; GENERALIZED REGRESSION NEURAL NETWORK; MULTIPLE LINEAR REGRESSION; RANDOM FORESTS; SUPPORT VECTOR REGRESSION;

DECISION TREES; FORECASTING; LINEAR REGRESSION; NEURAL NETWORKS; PEROVSKITE;

LATTICE CONSTANTS;

EID: 79952314092     PISSN: 09270256     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.commatsci.2011.01.035     Document Type: Article

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