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

Predicting lattice constant of complex cubic perovskites using computational intelligence

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;

EID: 79952314092     PISSN: 09270256     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.commatsci.2011.01.035     Document Type: Article
Times cited : (34)

References (48)
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    • A.K. Azad, Göteborg University, Sweden, 2004.
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    • 79952311772 scopus 로고    scopus 로고
    • URL (accessedMay2010)
    • URL, < http://environmentalchemistry.com/yogi/periodic/ > (accessed May 2010).
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    • A. Smola, B. Schoelkopf, Springer, Netherlands, 14, 2004, pp. 199-222
    • A. Smola, B. Schoelkopf, Springer, Netherlands, 14, 2004, pp. 199-222.
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    • (accessedJune2010)
    • A. Jaiantilal, Randomforest-Matlab. < http://code.google.com/p/ randomforest-matlab/ > (accessed June 2010).
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    • Jaiantilal, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.