Neural Nets for Mesh Assessment
نویسنده
چکیده
We investigate the construction, training and application of a neural net for assessing element shape quality of practical unstructured grids arising in mesh generation, adaptive refinement and moving grid applications. Results of numerical experiments are included to validate the process and demonstrate performance of the neural net for both triangulations in 2D and tetrahedral tessellation in 3D.
منابع مشابه
Selectivity of multifilament trammel nets of different mesh sizes on the red mullet (Mullus barbatus L., 1758) in Western Mediterranean, Turkey
Three mesh sizes of multiflament trammel nets (22 mm, 24 mm, and 26 mm) were used in Finike bay for red mullet (Mullus barbatus L., 1758). The sampling program was arranged during February to May 2012. Holt (1963) method was used for selectivity of trammel nets. Red mullet was the dominant species in 22 mm mesh size at 52.86%, followed by 25.7% with the 24 mm net and 21.43% with the 26 mm net. ...
متن کاملSelectivity of multifilament trammel nets of different mesh sizes on the red mullet (Mullus barbatus L., 1758) in Western Mediterranean, Turkey
Three mesh sizes of multiflament trammel nets (22 mm, 24 mm, and 26 mm) were used in Finike bay for red mullet (Mullus barbatus L., 1758). The sampling program was arranged during February to May 2012. Holt (1963) method was used for selectivity of trammel nets. Red mullet was the dominant species in 22 mm mesh size at 52.86%, followed by 25.7% with the 24 mm net and 21.43% with the 26 mm net. ...
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متن کاملMonofilament gill net and trammel net selectivity for the silver crucian carp (Carassius gibelio Bloch, 1782) in the Eğirdir Lake, Isparta-Turkey
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