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Among the different types of neural network, available algorithms, as well as multilayered, feedforward, and recurrent networks, and radial basis function were used in the present investigation to study the fatigue strength of fiber-reinforced composite.
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The radial basis function is used to transform domain integrals to boundary integrals.
Finally, the implicit surface of a radial basis function was used to construct the tooth preparation׳s occlusal surface.
A modified form of Littlewood Paley (L P) basis function is used for the identification of the parameters.
In both strategies, to generate the residual a Gaussian radial basis function is used for an online estimation of the unknown dynamic function of the normal system.
In the present paper, a uniform cubic B-spline basis function is used and the resulting surface is globally C2 continuous.
For two-dimensional fracture problems, the enriched basis function is used at the tip of the crack, and then the enriched BEFM is presented.
An improved moving least-squares (IMLS) approximation, in which the orthogonal function system with a weight function is used as the basis function, is used to obtain the shape functions.
A Gaussian radial basis function is used as kernel to perform non-linear classification.
The optimized basis function is used in the training phase which is usually obtained using k-means algorithm in an unsupervised manner.
The multivariate adaptive spline basis function was used.
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