Pages that link to "Item:Q4277151"

The following pages link to Universal approximation bounds for superpositions of a sigmoidal function (Q4277151):

Displaying 50 items.

• Squared and absolute errors in optimal approximation of nonlinear systems. (Q1421411) (← links)
• A note on universal approximation by hierarchical fuzzy systems (Q1572710) (← links)
• A better approximation for balls (Q1577916) (← links)
• Information-theoretic determination of minimax rates of convergence (Q1578277) (← links)
• Nonlinear stable adaptive control based upon Elman networks (Q1589813) (← links)
• Approximation properties of local bases assembled from neural network transfer functions (Q1596850) (← links)
• Modelling the dynamics of nonlinear time series using canonical variate analysis (Q1607427) (← links)
• Approximation order to a function in \(\overline C({\mathbb R})\) by superposition of a sigmoidal function (Q1609519) (← links)
• Interpolation by ridge polynomials and its application in neural networks (Q1612364) (← links)
• Approximation theorems for a family of multivariate neural network operators in Orlicz-type spaces (Q1623021) (← 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)
• Neural network prediction of load from the morphology of trabecular bone (Q1667818) (← 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)
• Applied harmonic analysis and data processing. Abstracts from the workshop held March 25--31, 2018 (Q1731982) (← links)
• On estimation of surrogate models for multivariate computer experiments (Q1733118) (← links)
• Function approximation with zonal function networks with activation functions analogous to the rectified linear unit functions (Q1734693) (← links)
• Learning semidefinite regularizers (Q1740575) (← links)
• Provable approximation properties for deep neural networks (Q1742817) (← links)
• Approximation of functions of finite variation by superpositions of a sigmoidal function. (Q1767196) (← links)
• An approximation by neural networks with a fixed weight (Q1767906) (← links)
• How to determine the minimum number of fuzzy rules to achieve given accuracy: a computational geometric approach to SISO case (Q1770724) (← links)
• Regularized greedy algorithms for network training with data noise (Q1774153) (← links)
• New study on neural networks: the essential order of approximation (Q1784569) (← links)
• Some problems in the theory of ridge functions (Q1798075) (← links)
• Boosting the margin: a new explanation for the effectiveness of voting methods (Q1807156) (← links)
• Models of knowing and the investigation of dynamical systems (Q1809395) (← links)
• On selecting models for nonlinear time series (Q1842201) (← links)
• Functional aggregation for nonparametric regression. (Q1848794) (← links)
• Local greedy approximation for nonlinear regression and neural network training. (Q1848831) (← links)
• Adaptive estimation in autoregression or \(\beta\)-mixing regression via model selection (Q1848887) (← links)
• On best approximation of classes by radial functions (Q1867260) (← links)
• Neural networks based subgrid scale modeling in large eddy simulations (Q1869302) (← links)
• Explaining consumer choice through neural networks: the stacked generalization approach (Q1869684) (← links)
• An empirical comparison of the validity of a neural net based multinomial logit choice model to alternative model specifications (Q1876168) (← links)
• Approximation by ridge function fields over compact sets (Q1885448) (← links)
• Set membership identification of nonlinear systems (Q1888415) (← links)
• Fusion methods for multiple sensor systems with unknown error densities (Q1898158) (← links)
• A receding-horizon regulator for nonlinear systems and a neural approximation (Q1902576) (← links)
• Nonlinear black-box modeling in system identification: A unified overview (Q1911270) (← links)
• Nonlinear black-box models in system identification: Mathematical foundations (Q1911271) (← links)
• A note on error bounds for approximation in inner product spaces (Q1922620) (← links)
• Networks and closed balls (Q1923885) (← links)
• Some remarks on greedy algorithms (Q1923887) (← links)
• Solvable models of layered neural networks based on their differential structure (Q1923889) (← links)
• Limitations of the approximation capabilities of neural networks with one hidden layer (Q1923890) (← links)
• The convex geometry of linear inverse problems (Q1928276) (← links)
• Comparison of the convergence rate of pure greedy and orthogonal greedy algorithms (Q1929788) (← links)
• Complexity estimates based on integral transforms induced by computational units (Q1941596) (← links)