Pages that link to "Item:Q1708845"

The following pages link to Multilayer feedforward networks are universal approximators (Q1708845):

Displaying 50 items.

• Neural network interpolation operators activated by smooth ramp functions (Q5083442) (← links)
• A novel wavelet artificial neural networks method to predict non-stationary time series (Q5085616) (← links)
• (Q5093541) (← links)
• Neural networks and complexity theory (Q5096819) (← links)
• Deep Neural Network Surrogates for Nonsmooth Quantities of Interest in Shape Uncertainty Quantification (Q5097855) (← links)
• Wavelet neural networks functional approximation and application (Q5097861) (← links)
• MultiComposite Nonconvex Optimization for Training Deep Neural Networks (Q5114402) (← links)
• Modelling of Aircraft’s Dynamics Using Least Square Support Vector Machine Regression (Q5114995) (← links)
• Artificial Neural Network Approximation of Fractional-Order Derivative Operators: Analysis and DSP Implementation (Q5115026) (← links)
• Microstructure-informed probability-driven point-particle model for hydrodynamic forces and torques in particle-laden flows (Q5116505) (← links)
• Applying neural network Poisson regression to predict cognitive score changes (Q5124894) (← links)
• A comparison of artificial neural network and multinomial logit models in predicting mergers (Q5128954) (← links)
• Short Communication: Deep Fundamental Factor Models (Q5131409) (← links)
• Deep ReLU networks and high-order finite element methods (Q5132226) (← links)
• Rectified deep neural networks overcome the curse of dimensionality for nonsmooth value functions in zero-sum games of nonlinear stiff systems (Q5132232) (← links)
• Product formalisms for measures on spaces with binary tree structures: representation, visualization, and multiscale noise (Q5135417) (← links)
• Neural network representation of the probability density function of diffusion processes (Q5139752) (← links)
• Unsupervised deep learning for super-resolution reconstruction of turbulence (Q5145486) (← links)
• Jordan neural network for inflation forecasting (Q5147600) (← links)
• (Q5149035) (← links)
• Convolutional Neural Networks in Phase Space and Inverse Problems (Q5149211) (← links)
• (Q5149257) (← links)
• Approximation Properties of Ridge Functions and Extreme Learning Machines (Q5154637) (← links)
• Deep Network Approximation for Smooth Functions (Q5155613) (← links)
• Phase-based control of periodic flows (Q5157303) (← links)
• Learning regularization parameters of inverse problems via deep neural networks (Q5157862) (← links)
• Modified value-function-approximation for synchronous policy iteration with single-critic configuration for nonlinear optimal control (Q5157945) (← links)
• A homotopy training algorithm for fully connected neural networks (Q5160822) (← links)
• Regression methods in waveform modeling: a comparative study (Q5161932) (← links)
• Finite Neuron Method and Convergence Analysis (Q5162357) (← links)
• Deep Network Approximation Characterized by Number of Neurons (Q5162359) (← links)
• Butterfly-Net: Optimal Function Representation Based on Convolutional Neural Networks (Q5162362) (← links)
• The model reduction of the Vlasov–Poisson–Fokker–Planck system to the Poisson–Nernst–Planck system <i>via</i> the Deep Neural Network Approach (Q5163496) (← links)
• An evaluation of the bihyperbolic function in the optimization of the backpropagation algorithm (Q5175848) (← links)
• Input reconstruction of chaos sensors (Q5179177) (← links)
• Adaptive neural network output feedback control for flexible multi-link robotic manipulators (Q5197937) (← links)
• Learning the tangent space of dynamical instabilities from data (Q5205672) (← links)
• Neural network embedding of the over-dispersed Poisson reserving model (Q5210997) (← links)
• A NEURAL NETWORK BOOSTED DOUBLE OVERDISPERSED POISSON CLAIMS RESERVING MODEL (Q5213437) (← links)
• Equivalence of approximation by convolutional neural networks and fully-connected networks (Q5218202) (← links)
• Mean Field Analysis of Neural Networks: A Law of Large Numbers (Q5219306) (← links)
• Discriminating between distributions using feed-forward neural networks (Q5220750) (← links)
• Hybrid online learning control in networked multiagent systems: A survey (Q5222713) (← links)
• (Q5228381) (← links)
• LÉVY PROCESS BASED ORNSTEIN-UHLENBECK TEMPERATURE MODEL WITH TIME VARYING SPEED OF MEAN REVERSION (Q5229445) (← links)
• Solving inverse problems using data-driven models (Q5230520) (← links)
• A neural network approach for the blind deconvolution of turbulent flows (Q5231546) (← links)
• Deep learning for limit order books (Q5234311) (← links)
• Universal features of price formation in financial markets: perspectives from deep learning (Q5234368) (← links)
• Sparse identification of nonlinear dynamics for model predictive control in the low-data limit (Q5243602) (← links)