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Discernible visualization of high dimensional data using label information
Visualization methods could significantly improve the outcome of automated knowledge discovery systems by involving human judgment.Star coordinate is a visualization technique that maps k-dimensional data onto a circle ...
Isogeometric analysis of composite beams with arbitrary cross-section using dimensional reduction method
A novel isogeometric-based cross-sectional analysis of composite beams with arbitrary cross-section geometry and a one-dimensional composite beam model is presented via the concept of dimensional reduction method. In dimensional reduction method...
Isogeometric analysis of shear refined delaminated composite beams using
In this paper the isogeometric method is used to present a shear refined composite beam model through the
concept of dimensional reduction method. A one-dimensional (1D) beam model is extracted from three-dimensional
(3D) elasticity...
Rule Selection by Guided Elitism Genetic Algorithm in Fuzzy Min-Max Classifier
Rule-based classification with Neural Networks has high acceptance ability for noisy data, high accuracy and is preferable in data mining. In this paper, we use Fuzzy Min-Max (FMM) Neural Network. Nevertheless the -Curse ...
Quasi-Static Analysis of Composite Beam with Saturated Porous Core by Dimensional Reduction Method
warping
effects. Dimensional reduction is a method in which, 3-D elasticity problem is reduced to 1-D beam analysis by calculating in and out
of plane cross sectional 3-D warpings with polynomial functions. The porous core is saturated with a...