Pages that link to "Item:Q2255377"
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The following pages link to Approximation by series of sigmoidal functions with applications to neural networks (Q2255377):
Displaying 33 items.
- Approximation by max-product neural network operators of Kantorovich type (Q287317) (← links)
- Approximation by neural networks with sigmoidal functions (Q381075) (← links)
- Approximation results for neural network operators activated by sigmoidal functions (Q459444) (← links)
- Rate of approximation for multivariate sampling Kantorovich operators on some functions spaces (Q489287) (← links)
- The approximation operators with sigmoidal functions (Q980024) (← links)
- Approximation theorems for a family of multivariate neural network operators in Orlicz-type spaces (Q1623021) (← links)
- Solving numerically nonlinear systems of balance laws by multivariate sigmoidal functions approximation (Q1655363) (← links)
- Neural network operators: constructive interpolation of multivariate functions (Q1669090) (← links)
- Saturation classes for MAX-product neural network operators activated by sigmoidal functions (Q1682591) (← links)
- Estimates for the neural network operators of the max-product type with continuous and \(p\)-integrable functions (Q1743217) (← links)
- Approximation problems in sigma-pi neural networks (Q1814725) (← links)
- Sigmoidal theory (Q1920361) (← links)
- Approximation with neural networks activated by ramp sigmoids (Q1958429) (← links)
- Asymptotic expansion for neural network operators of the Kantorovich type and high order of approximation (Q2023320) (← links)
- Approximation by exponential sampling type neural network operators (Q2037365) (← links)
- Rates of approximation by neural network interpolation operators (Q2073064) (← links)
- High-order approximation rates for shallow neural networks with cosine and \(\mathrm{ReLU}^k\) activation functions (Q2118396) (← links)
- An investigation of approximate solutions for second order ordinary differential equations using sigmoid-weighted neural networks (Q2144766) (← links)
- Voronovskaja type theorems and high-order convergence neural network operators with sigmoidal functions (Q2178844) (← links)
- Sigmoidal approximations of Heaviside functions in neural lattice models (Q2297258) (← links)
- Approximate solutions of Volterra integral equations by an interpolation method based on ramp functions (Q2326351) (← links)
- Global Mittag-Leffler stability of complex valued fractional-order neural network with discrete and distributed delays (Q2374453) (← links)
- Pointwise and uniform approximation by multivariate neural network operators of the max-product type (Q2418225) (← links)
- Max-product neural network and quasi-interpolation operators activated by sigmoidal functions (Q2630379) (← links)
- Convergence for a family of neural network operators in Orlicz spaces (Q2965304) (← links)
- Degree of Approximation for Nonlinear Multivariate Sampling Kantorovich Operators on Some Functions Spaces (Q3453789) (← links)
- Sigmoid generators for neural computing using piecewise approximations (Q4420849) (← links)
- DENSITY RESULTS BY DEEP NEURAL NETWORK OPERATORS WITH INTEGER WEIGHTS (Q5052610) (← links)
- Neural network interpolation operators activated by smooth ramp functions (Q5083442) (← links)
- On the Approximation of the Cut and Step Functions by Logistic and Gompertz Functions (Q5273190) (← links)
- Constructive Approximation by Superposition of Sigmoidal Functions (Q5399935) (← links)
- An adaptive learning rate backpropagation‐type neural network for solving <b><i>n</i> × <i>n</i></b> systems on nonlinear algebraic equations (Q5739238) (← links)
- ExSpliNet: An interpretable and expressive spline-based neural network (Q6398139) (← links)