Pages that link to "Item:Q4277151"

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

Displaying 50 items.

• Lower estimation of approximation rate for neural networks (Q848260) (← links)
• Neural network and regression spline value function approximations for stochastic dynamic programming (Q850310) (← links)
• An exponential inequality under weak dependence (Q850748) (← links)
• Nonlinear dynamical system identification with dynamic noise and observational noise (Q857171) (← links)
• Neural networks and seasonality: Some technical considerations (Q858436) (← links)
• Nonlinear function approximation: computing smooth solutions with an adaptive greedy algorithm (Q863343) (← links)
• Trigonometric RBF neural robust controller design for a class of nonlinear system with linear input unmodeled dynamics (Q872348) (← links)
• On the tractability of multivariate integration and approximation by neural networks (Q876822) (← links)
• Estimates on compressed neural networks regression (Q889370) (← links)
• Approximation of fuzzy-valued functions by regular fuzzy neural networks and the accuracy analysis (Q894316) (← links)
• Complete stability analysis of a heuristic approximate dynamic programming control design (Q894322) (← links)
• On Kolmogorov's representation of functions of several variables by functions of one variable (Q899517) (← links)
• The construction and approximation of feedforward neural network with hyperbolic tangent function (Q904129) (← links)
• Markov chain network training and conservation law approximations: Linking microscopic and macroscopic models for evolution (Q924419) (← links)
• A class \(+1\) sigmoidal activation functions for FFANNs (Q951450) (← links)
• Variable selection in neural network regression models with dependent data: a subsampling approach (Q957121) (← links)
• Moving-horizon state estimation for nonlinear discrete-time systems: new stability results and approximation schemes (Q958266) (← links)
• Direct design from data of optimal filters for LPV systems (Q962184) (← links)
• Error bounds for suboptimal solutions to kernel principal component analysis (Q968012) (← links)
• Estimates of variation with respect to a set and applications to optimization problems (Q970575) (← links)
• The approximation operators with sigmoidal functions (Q980024) (← links)
• Convex polynomial and ridge approximation of Lipschitz functions in \(\mathbb R^d\) (Q983503) (← links)
• Complexity of Gaussian-radial-basis networks approximating smooth functions (Q998978) (← links)
• Estimates of the approximation error using Rademacher complexity: Learning vector-valued functions (Q1008456) (← links)
• Nonparametric estimation of composite functions (Q1018644) (← links)
• Approximation schemes for functional optimization problems (Q1024253) (← links)
• Convergence analysis of convex incremental neural networks (Q1029589) (← links)
• Instability, complexity, and evolution (Q1036993) (← links)
• Learning a function from noisy samples at a finite sparse set of points (Q1048968) (← links)
• Adaptive control of nonlinear dynamic systems using \(\theta\)-adaptive neural networks (Q1129706) (← links)
• Some extensions of radial basis functions and their applications in artificial intelligence (Q1207559) (← links)
• A note on error bounds for function approximation using nonlinear networks (Q1272630) (← links)
• Uniform approximation by neural networks (Q1273409) (← links)
• The complexity of model classes, and smoothing noisy data (Q1274410) (← links)
• Harmonic analysis of neural networks (Q1283559) (← links)
• Geometrical aspects of discrimination by multilayer perceptrons (Q1283923) (← links)
• Greedy algorithms and \(M\)-term approximation with regard to redundant dictionaries (Q1288881) (← links)
• Universal approximation by hierarchical fuzzy systems (Q1291545) (← links)
• On simultaneous approximations by radial basis function neural networks (Q1294160) (← links)
• Adaptive control of nonlinear multivariable systems using neural networks (Q1345248) (← links)
• Neural networks and nonlinear statistical methods: An application to the modelling of price-quality relationships (Q1348545) (← links)
• Neural networks and logistic regression. II. (Q1351184) (← links)
• Persistence of excitation conditions in passive learning control (Q1361337) (← links)
• Approximation and learning of convex superpositions (Q1370865) (← links)
• A dynamic recurrent neural-network-based adaptive observer for a class of nonlinear systems (Q1372750) (← links)
• Nonlinear approximation in finite-dimensional spaces (Q1383443) (← links)
• Restricted polynomial regression (Q1392034) (← links)
• Predictive neuro-control of uncertain systems: Design and use of a neuro-optimizer (Q1400310) (← links)
• A survey on universal approximation and its limits in soft computing techniques. (Q1401123) (← links)
• Complexity of gene circuits, Pfaffian functions and the morphogenesis problem. (Q1420170) (← links)