Pages that link to "Item:Q1201935"
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The following pages link to Approximation by superposition of sigmoidal and radial basis functions (Q1201935):
Displaying 40 items.
- On the approximation by single hidden layer feedforward neural networks with fixed weights (Q2179313) (← links)
- Misspecified diffusion models with high-frequency observations and an application to neural networks (Q2239259) (← links)
- Interpolation by neural network operators activated by ramp functions (Q2252489) (← links)
- Convergence of a family of neural network operators of the Kantorovich type (Q2252929) (← links)
- Approximation by series of sigmoidal functions with applications to neural networks (Q2255377) (← links)
- Quantitative approximation by perturbed Kantorovich-Choquet neural network operators (Q2314635) (← links)
- Wiener's tauberian theorems for the Fourier-Bessel transformation and uniform approximation by RBF networks of Delsarte translates (Q2352197) (← links)
- Neural network with unbounded activation functions is universal approximator (Q2399647) (← links)
- The role of nonpolynomiality in uniform approximation by RBF networks of Hankel translates (Q2422470) (← links)
- A collocation method for solving nonlinear Volterra integro-differential equations of neutral type by sigmoidal functions (Q2450721) (← links)
- The essential order of approximation for nearly exponential type neural networks (Q2507488) (← links)
- Universal approximation capability of EBF neural networks with arbitrary activation functions (Q2563557) (← links)
- Simultaneous \(\mathbf L^p\)-approximation order for neural networks (Q2568010) (← links)
- Constructive estimation of approximation for trigonometric neural networks (Q2902631) (← links)
- Minimization of Error Functionals over Perceptron Networks (Q3539962) (← links)
- Neural Networks for Localized Approximation (Q4317663) (← links)
- (Q5011559) (← links)
- Optimal Approximation with Sparsely Connected Deep Neural Networks (Q5025773) (← links)
- DENSITY RESULTS BY DEEP NEURAL NETWORK OPERATORS WITH INTEGER WEIGHTS (Q5052610) (← links)
- Deep ReLU Networks Overcome the Curse of Dimensionality for Generalized Bandlimited Functions (Q5079533) (← links)
- Neural network interpolation operators activated by smooth ramp functions (Q5083442) (← links)
- Equivalence of approximation by convolutional neural networks and fully-connected networks (Q5218202) (← links)
- Approximation by perturbed neural network operators (Q5253674) (← links)
- Approximations by multivariate perturbed neural network operators (Q5267949) (← links)
- A Single Hidden Layer Feedforward Network with Only One Neuron in the Hidden Layer Can Approximate Any Univariate Function (Q5380543) (← links)
- Applications of classical approximation theory to periodic basis function networks and computational harmonic analysis (Q5396581) (← links)
- Constructive Approximation by Superposition of Sigmoidal Functions (Q5399935) (← links)
- A way of constructing translation network operators by Bernstein operators (Q5437325) (← links)
- (Q5858846) (← links)
- Approximating functions with multi-features by deep convolutional neural networks (Q5873927) (← links)
- A New Function Space from Barron Class and Application to Neural Network Approximation (Q5878925) (← links)
- On Approximation by Neural Networks with Optimized Activation Functions and Fixed Weights (Q5882452) (← links)
- Kähler geometry of framed quiver moduli and machine learning (Q6072334) (← links)
- Neural network interpolation operators optimized by Lagrange polynomial (Q6077041) (← links)
- Universality of neural networks with a sigmoidal activation or discriminatory functions on functional Banach lattices over the real line (Q6147819) (← links)
- Construction and approximation rate for feedforward neural network operators with sigmoidal functions (Q6591537) (← links)
- On the density of translation networks defined on the unit ball (Q6633210) (← links)
- Sigmoid functions, multiscale resolution of singularities, and \(hp\)-mesh refinement (Q6636580) (← links)
- Importance sampling for option pricing with feedforward neural networks (Q6659479) (← links)
- From kernel methods to neural networks: a unifying variational formulation (Q6659493) (← links)
