A comparative study on applicability and efficiency of machine learning algorithms for modeling gamma-ray shielding behaviors
暂无分享,去创建一个
Ersoy Öz | Ozan Toker | Bayram Bilmez | Orhan İçelli | Selçuk Alp | Ersoy Öz | O. İçelli | Selçuk Alp | Ozan Toker | Bayram Bilmez
[1] N. M. Badiger,et al. Determination of mass attenuation coefficient for some polymers using Monte Carlo simulation , 2015 .
[2] M. Sugeno,et al. Structure identification of fuzzy model , 1988 .
[3] Héctor Pomares,et al. Clustering-Based TSK Neuro-fuzzy Model for Function Approximation with Interpretable Sub-models , 2005, IWANN.
[4] O. Klein,et al. Über die Streuung von Strahlung durch freie Elektronen nach der neuen relativistischen Quantendynamik von Dirac , 1929 .
[5] J. H. Hubbell,et al. Review and history of photon cross section calculations , 2006, Physics in medicine and biology.
[6] J. J. Moré,et al. Levenberg--Marquardt algorithm: implementation and theory , 1977 .
[7] N. Kucuk,et al. Modeling of gamma ray energy-absorption buildup factors for thermoluminescent dosimetric materials using multilayer perceptron neural network: A comparative study , 2013 .
[8] Iskender Akkurt,et al. Prediction of photon attenuation coefficients of heavy concrete by fuzzy logic , 2010, J. Frankl. Inst..
[9] Michael Y. Hu,et al. Forecasting with artificial neural networks: The state of the art , 1997 .
[10] S. J. Kiartzis,et al. Short term load forecasting using fuzzy neural networks , 1995 .
[11] João Carlos Figueira Pujol,et al. A neural network approach to fatigue life prediction , 2011 .
[12] H. Tekin,et al. Validation of MCNPX with Experimental Results of Mass Attenuation Coefficients for Cement, Gypsum and Mixture , 2017 .
[13] M. Medhat. Application of neural network for predicting photon attenuation through materials , 2018, Radiation Effects and Defects in Solids.
[14] A. Zolfaghari,et al. Application of artificial neural network for predicting the optimal mixture of radiation shielding concrete , 2016 .
[15] O. İçelli,et al. A novel comprehensive utilization of vanadium slag/epoxy resin/antimony trioxide ternary composite as gamma ray shielding material by MCNP 6.2 and BXCOM , 2019 .
[16] Lotfi A. Zadeh,et al. Fuzzy Sets , 1996, Inf. Control..
[17] B. Tromborg,et al. Coulomb corrections in non-relativistic scattering , 1973 .
[18] A. Rezaei,et al. Application of artificial neural network in precise prediction of cement elements percentages based on the neutron activation analysis , 2016 .
[19] Hans A. Bethe,et al. On the Stopping of Fast Particles and on the Creation of Positive Electrons , 1934 .
[20] Selçuk Alp,et al. Modelling of Multi-Objective Transshipment Problem with Fuzzy Goal Programming , 2018, International Journal of Transportation.