دانلود مقاله ISI انگلیسی شماره 52111
ترجمه فارسی عنوان مقاله

توسعه و اعتبار برآوردگر انرژی سطحی با استفاده از روش هوش محاسباتی

عنوان انگلیسی
Development and validation of surface energies estimator (SEE) using computational intelligence technique
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
52111 2015 9 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Computational Materials Science, Volume 101, 15 April 2015, Pages 143–151

ترجمه کلمات کلیدی
برآورد سطح انرژی ؛ رگرسیون بردار پشتیبانی - میانگین انرژی سطحی
کلمات کلیدی انگلیسی
Surface energies estimator; Support vector regression; Average surface energy
پیش نمایش مقاله
پیش نمایش مقاله  توسعه و اعتبار برآوردگر انرژی سطحی با استفاده از روش هوش محاسباتی

چکیده انگلیسی

Accurate estimation technique that accommodates few data points is useful and desired in tackling the difficulties in experimental determination of surface energies of materials. We hereby propose a computational intelligence technique on the platform of support vector regression (SVR) using test-set-cross-validation method to develop surface energies estimator (SEE) that is capable of estimating the average surface energy of materials. The SEE was developed from SVR by training and testing the model using thirteen data points. The developed SEE was then used to estimate average surface energies of different classes of metals in periodic table. Comparison of our results with the experimental values and the surface energies obtained from other theoretical models show excellent agreement. The developed SEE can be a tool through which average surface energies of materials can be estimated as a result of its outstanding performance over the existing models.