Pages that link to "Item:Q381075"
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The following pages link to Approximation by neural networks with sigmoidal functions (Q381075):
Displaying 34 items.
- Estimation of approximating rate for neural network in \(L^p_w\) spaces (Q442994) (← links)
- Approximation results for neural network operators activated by sigmoidal functions (Q459444) (← links)
- The universal approximation capabilities of double \(2\pi\)-periodic approximate identity neural networks (Q521720) (← links)
- Intelligent systems. Approximation by artificial neural networks (Q549287) (← links)
- Multivariate sigmoidal neural network approximation (Q553274) (← links)
- The exponential learning equation as a function of successful trials results in sigmoid performance (Q979189) (← links)
- The approximation operators with sigmoidal functions (Q980024) (← links)
- An analysis on neural dynamics with saturated sigmoidal functions (Q1130395) (← links)
- An approximation by neural networks with a fixed weight (Q1767906) (← links)
- Approximation problems in sigma-pi neural networks (Q1814725) (← links)
- The dynamic universality of sigmoidal neural networks (Q1923090) (← links)
- The construction and approximation of some neural network operators (Q1931137) (← links)
- Approximation with neural networks activated by ramp sigmoids (Q1958429) (← links)
- Approximation by exponential sampling type neural network operators (Q2037365) (← links)
- Rates of approximation by neural network interpolation operators (Q2073064) (← links)
- An investigation of approximate solutions for second order ordinary differential equations using sigmoid-weighted neural networks (Q2144766) (← links)
- Sigmoidal approximations of a delay neural lattice model with heaviside functions (Q2175719) (← links)
- Modified neural network operators and their convergence properties with summability methods (Q2185008) (← links)
- Approximating smooth functions by deep neural networks with sigmoid activation function (Q2222228) (← links)
- Approximation by series of sigmoidal functions with applications to neural networks (Q2255377) (← links)
- Sigmoidal approximations of Heaviside functions in neural lattice models (Q2297258) (← links)
- The new approximation operators with sigmoidal functions (Q2511373) (← links)
- An approximation problems on \(L_2(\mathbb R)\) by wavelet neural network (Q2909891) (← links)
- On approximation by univariate sigmoidal neural networks (Q2926751) (← links)
- Computational homogenization of nonlinear elastic materials using neural networks (Q2952866) (← links)
- Sigmoid generators for neural computing using piecewise approximations (Q4420849) (← links)
- On the Partitioning Capabilities of Feedforward Neural Networks with Sigmoid Nodes (Q4461331) (← links)
- Neural network interpolation operators activated by smooth ramp functions (Q5083442) (← links)
- On Approximation by Neural Networks with Optimized Activation Functions and Fixed Weights (Q5882452) (← links)
- Neural network interpolation operators optimized by Lagrange polynomial (Q6077041) (← links)
- Neural network interpolation operators of multivariate functions (Q6137791) (← links)
- On the density of translation networks defined on the unit ball (Q6633210) (← links)
- Neural network interpolation operators based on Lagrange polynomials (Q6660215) (← links)
- Approximation by convolution translation networks on conic domains (Q6661076) (← links)