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In this paper, a new hybrid learning method for radial basis function neural networks based on generalized recursive least square algorithm is proposed.
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The extension of this approach using mob in this paper borrows strength from the binary recursive partitioning approach in CART as well as the parametric approach in traditional multivariable LR and is based on generalized linear models.
An ultrathin directional carpet cloak based on generalized Snell's law.
This model is based on generalized averaging method.
This method is based on generalized least squares.
Independent low-rank matrix analysis based on generalized Gaussian distribution.
Choice modelling occurs based on generalized costs (Step 3).
It's difficult for investors to make risk projections based on generalized corporate statements of intent.
c P values based on generalized Wilcoxon test.
A general expression for these higher-order corrections based on a recursive relationship has been obtained.
The one- and two-dimensional binary block-wise fast transforms are proposed based on their recursive forms.
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