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- W2736708099 abstract "In this research, we use artificial neural networks, specifically radial basis function neural network (RBFNN) to improve the performance and work of the explicit finite differences method (EFDM), where it was compared, the modified method with an explicit finite differences method through solving the Murray equation and showing by comparing results with the exact solution that the improved method by using (RBFNN) is the best and most accurate by giving less error rate through root mean square error (RMSE) from the classical method (EFDM)." @default.
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- W2736708099 date "2013-07-01" @default.
- W2736708099 modified "2023-09-26" @default.
- W2736708099 title "Modifying Explicit Finite Difference Method by Using Radial Basis Function Neural Network" @default.
- W2736708099 cites W2132473313 @default.
- W2736708099 doi "https://doi.org/10.33899/csmj.2013.163484" @default.
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