Pages that link to "Item:Q2357125"
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The following pages link to Solving boundary value problems of mathematical physics using radial basis function networks (Q2357125):
Displaying 8 items.
- Efficient solving of boundary value problems using radial basis function networks learned by trust region method (Q1652941) (← links)
- Learning radial basis function networks with the trust region method for boundary problems (Q1992271) (← links)
- Training RBF neural networks for the solution of elliptic boundary value problems (Q2094353) (← links)
- A collocation method with space-time radial polynomials for inverse heat conduction problems (Q2223910) (← links)
- ON THE CONVERGENCE RATE OF THE SUBGRADIENT METHOD WITH METRIC VARIATION AND ITS APPLICATIONS IN NEURAL NETWORK APPROXIMATION SCHEMES (Q5042979) (← links)
- Radial basis function neural network (RBFNN) approximation of Cauchy inverse problems of the Laplace equation (Q6103633) (← links)
- Random vibration of hysteretic systems under Poisson white noise excitations (Q6132251) (← links)
- Training RBF neural networks for solving nonlinear and inverse boundary value problems (Q6549881) (← links)
