کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
11011654 | 1802860 | 2018 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A datamining approach to classify, select and predict the formation enthalpy for intermetallic compound hydrides
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
الکتروشیمی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: A datamining approach to classify, select and predict the formation enthalpy for intermetallic compound hydrides A datamining approach to classify, select and predict the formation enthalpy for intermetallic compound hydrides](/preview/png/11011654.png)
چکیده انگلیسی
An (6-15-1) architecture of artificial neural network (ANN) has been developed to estimate the ÎH for the other ternary hydrides selected from different published works. The performance indices such as relative error, coefficient of determination (R2) and mean square error (MSE) were used to control the performance of obtained results. In addition to this, the ÎH obtained from ANN model were compared with those experimental data and theoretical results available in the literature.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Hydrogen Energy - Volume 43, Issue 41, 11 October 2018, Pages 19111-19120
Journal: International Journal of Hydrogen Energy - Volume 43, Issue 41, 11 October 2018, Pages 19111-19120
نویسندگان
A. Djellouli, K. Benyelloul, H. Aourag, S. Bekhechi, A. Adjadj, Y. Bouhadda, O. ElKedim,