The following pages link to (Q4277561):
Displaying 37 items.
- Approximation by network operators with logistic activation functions (Q299680) (← links)
- Solving Volterra integral equations of the second kind by sigmoidal functions approximation (Q380221) (← links)
- Quasi-interpolation for surface reconstruction from scattered data with radial basis function (Q450232) (← links)
- Approximation results for neural network operators activated by sigmoidal functions (Q459444) (← links)
- Multivariate neural network operators with sigmoidal activation functions (Q460677) (← links)
- On sharpness of error bounds for univariate approximation by single hidden layer feedforward neural networks (Q777322) (← links)
- Controlling oscillations in high-order discontinuous Galerkin schemes using artificial viscosity tuned by neural networks (Q778268) (← links)
- Constructive approximate interpolation by neural networks (Q817488) (← links)
- Jackson-type inequalities for spherical neural networks with doubling weights (Q889374) (← links)
- The construction and approximation of feedforward neural network with hyperbolic tangent function (Q904129) (← links)
- Approximation by superposition of sigmoidal and radial basis functions (Q1201935) (← links)
- Approximation order to a function in \(\overline C({\mathbb R})\) by superposition of a sigmoidal function (Q1609519) (← links)
- Multivariate Jackson-type inequality for a new type neural network approximation (Q1634573) (← links)
- Solving numerically nonlinear systems of balance laws by multivariate sigmoidal functions approximation (Q1655363) (← links)
- Approximation of functions of finite variation by superpositions of a sigmoidal function. (Q1767196) (← links)
- On local and global sigma-pi neural networks. A common link (Q1895924) (← links)
- Networks and closed balls (Q1923885) (← links)
- The construction and approximation of some neural network operators (Q1931137) (← links)
- Mosaic flows: a transferable deep learning framework for solving PDEs on unseen domains (Q2072515) (← links)
- The construction and approximation of ReLU neural network operators (Q2086452) (← links)
- Uniform approximation rates and metric entropy of shallow neural networks (Q2157931) (← links)
- A multi-hierarchical attention-based prediction method on time series with spatio-temporal context among variables (Q2162223) (← links)
- Approximation by series of sigmoidal functions with applications to neural networks (Q2255377) (← links)
- Stein's identity, Fisher information, and projection pursuit: A triangulation (Q2382857) (← links)
- A collocation method for solving nonlinear Volterra integro-differential equations of neutral type by sigmoidal functions (Q2450721) (← links)
- (Q4639983) (← links)
- Constructive Approximation of Continuous Interval-Valued Functions (Q5073866) (← links)
- A note on the applications of one primary function in deep neural networks (Q5097859) (← links)
- (Q5106344) (← links)
- CONSTRUCTIVE APPROXIMATION BY NEURAL NETWORKS WITH POSITIVE INTEGER WEIGHTS (Q5217025) (← links)
- Deep neural networks for rotation-invariance approximation and learning (Q5236745) (← links)
- Construction and approximation for a class of feedforward neural networks with sigmoidal function (Q6052306) (← links)
- On sharpness of error bounds for multivariate neural network approximation (Q6060396) (← links)
- Approximating smooth and sparse functions by deep neural networks: optimal approximation rates and saturation (Q6062170) (← links)
- Towards understanding theoretical advantages of complex-reaction networks (Q6077000) (← links)
- Simultaneous approximation of multivariate functions by superposition of a sigmoidal function (Q6112762) (← links)
- Construction and approximation rate for feedforward neural network operators with sigmoidal functions (Q6591537) (← links)
