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8篇 您的检索式:作者名="Hudaverdi"
    题名 作者 年代 出处 被引量
1Mean particle size prediction in rock blast fragmentation using neural networks 显示文摘KULATILAKE P H S W WU Q HUDAVERDI T KUZU C 2010Engineering Geology2010,114,34:1
2Coexistence of systemic lupus erythematosus,Hashimoto's thyroiditis and IgA nephropathy in the same patient显示文摘Kobak S Hudaverdi O Keser G 0,,01:1
3Prediction of blast fragmentation using multivariate analysis procedures 显示文摘HUDAVERDI T KULATILAKE P H S W KUZU C 2011International Journal for Numerical and Analytical Methods in Geomechanics2011,35,12:1
4Mean particle size prediction in rock blast fragmentation using neural networks 显示文摘P H S W Kulatilake WU Qiong HUDAVERDI T 2010Engineering Geology2010,114,34:1
5Pre- diction of blast fragmentation using multivariate analysis procedures 显示文摘HUDAVERDI T KULATILAKE P H S W KUZU C 2010International Journal for Numerical and Analytical Methods in Geomechanics2010,35,:1
6An alternative approach to predict human response to blast induced ground vibration显示文摘The aim of this study is to create alternative approaches to predict human response to ground vibration.Site measurements were conducted in an urban quarry.The multiple discriminant analysis technique was used to develop classification models.The measured ground vibration values were grouped based on the limit values appearing in the literature.Two classification models were created to predict human response to ground vibration.In addition,classical predictor equations were developed to compare to the classification models.The best equations were chosen considering several error measures.All the models were tested on the independent data.The prediction accuracy of the discriminant analysis models is quite promising.Nearly eighty-nine percent of the test data were correctly classified.The classification models have a combined structure.The results of the models can be directly presented to the neighbors of the studied quarry.The models are not complex.They do not require additional software or information to practice and can be easily used by site engineers.Turker Hudaverdi Ozge Akyildiz 2021Earthquake Engineering and Engineering Vibration2021,20,1:1
7Mean particle size prediction in rock blast fragmentation using neural networks 显示文摘Kulatilake P H S W Wu Q Hudaverdi T 2010Engineering Geology2010,114,34:1
8Prediction of blast fragmentation using multivariate analysis procedures显示文摘Hudaverdi T Kulatilake P H S W Kuzu C 2011International Journal for Numerical and Analytical Methods in Geomechanics2011,35,12:1
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