کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
809741 | 1468724 | 2011 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Performance of fuzzy logic and artificial neural network in prediction of ground and air vibrations
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موضوعات مرتبط
مهندسی و علوم پایه
علوم زمین و سیارات
مهندسی ژئوتکنیک و زمین شناسی مهندسی
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چکیده انگلیسی
► The two statistical models in Eqs. (11) and (12) have medium intensity relationships according to the correlation coefficients.
► For PPV models, the values were 3.23–0.45%, 78.39%–0.21%, and 87–0.17% for statistical, ANN, and fuzzy models respectively.
► For dB models, the values were 99.83–4.92%, 99.94–2.9%, and 99.95–2.71% for statistical, ANN, and fuzzy models, respectively.
► As can be seen from these results, the prediction accuracy of the ANN and fuzzy models is better than the statistical model.
► In accordance to the values of performance indices, fuzzy models are slightly better than ANN models.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Rock Mechanics and Mining Sciences - Volume 48, Issue 5, July 2011, Pages 845–851
Journal: International Journal of Rock Mechanics and Mining Sciences - Volume 48, Issue 5, July 2011, Pages 845–851
نویسندگان
Mostafa Tantawy Mohamed,