Pages that link to "Item:Q1708845"

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

Displaying 50 items.

• A comparative study of NN- and EKF-based SFDA schemes with application to a nonlinear UAV model (Q4932814) (← links)
• TESTS OF THE MARTINGALE DIFFERENCE HYPOTHESIS USING BOOSTING AND RBF NEURAL NETWORK APPROXIMATIONS (Q4933583) (← links)
• Routes to Chaos in Neural Networks with Random Weights (Q4941319) (← links)
• Unveiling the relation between herding and liquidity with trader lead-lag networks (Q4957237) (← links)
• Deep backward schemes for high-dimensional nonlinear PDEs (Q4960067) (← links)
• (Q4969154) (← links)
• On detecting the optimal structure of a neural network under strong statistical features in errors (Q4979103) (← links)
• Neural networks and some applications to finance (Q4994396) (← links)
• (Q4998934) (← links)
• (Q4999020) (← links)
• (Q4999094) (← links)
• The Gap between Theory and Practice in Function Approximation with Deep Neural Networks (Q4999396) (← links)
• Semiglobal optimal feedback stabilization of autonomous systems via deep neural network approximation (Q4999517) (← links)
• Artificial Neural Network as a Universal Model of Nonlinear Dynamical Systems (Q4999680) (← links)
• Passive Nonlinear Dendritic Interactions as a Computational Resource in Spiking Neural Networks (Q5004284) (← links)
• Deep Network With Approximation Error Being Reciprocal of Width to Power of Square Root of Depth (Q5004339) (← links)
• On the Achievability of Blind Source Separation for High-Dimensional Nonlinear Source Mixtures (Q5004361) (← links)
• Shaping Dynamics With Multiple Populations in Low-Rank Recurrent Networks (Q5004376) (← links)
• Deep learning volatility: a deep neural network perspective on pricing and calibration in (rough) volatility models (Q5014167) (← links)
• A multi-level procedure for enhancing accuracy of machine learning algorithms (Q5014840) (← links)
• Solving high-dimensional optimal stopping problems using deep learning (Q5014845) (← links)
• Approximation Error Analysis of Some Deep Backward Schemes for Nonlinear PDEs (Q5021399) (← links)
• Optimal Approximation with Sparsely Connected Deep Neural Networks (Q5025773) (← links)
• New Error Bounds for Deep ReLU Networks Using Sparse Grids (Q5025775) (← links)
• On PDE Characterization of Smooth Hierarchical Functions Computed by Neural Networks (Q5034481) (← links)
• Deep Statistical Model Checking (Q5041276) (← links)
• (Q5043153) (← links)
• Generalization Error Analysis of Neural Networks with Gradient Based Regularization (Q5045671) (← links)
• On some similarities and differences between deep neural networks and kernel learning machines (Q5048595) (← links)
• DENSITY RESULTS BY DEEP NEURAL NETWORK OPERATORS WITH INTEGER WEIGHTS (Q5052610) (← links)
• (Q5053337) (← links)
• (Q5054641) (← links)
• Two-Layer Neural Networks with Values in a Banach Space (Q5055293) (← links)
• Universal approximation on the hypersphere (Q5057345) (← links)
• Discretization of parameter identification in PDEs using neural networks (Q5058109) (← links)
• Pricing Options under Rough Volatility with Backward SPDEs (Q5065084) (← links)
• A Neural Network Approach to Sampling Based Learning Control for Quantum System with Uncertainty (Q5065154) (← links)
• An Augmented Lagrangian Deep Learning Method for Variational Problems with Essential Boundary Conditions (Q5065200) (← links)
• INSURANCE VALUATION: A TWO-STEP GENERALISED REGRESSION APPROACH (Q5067889) (← links)
• RANDOM NEURAL NETWORK METHODS AND DEEP LEARNING (Q5070876) (← links)
• ACCURATE, ENERGY-EFFICIENT CLASSIFICATION WITH SPIKING RANDOM NEURAL NETWORK (Q5070878) (← links)
• Narrowing the gap between combinatorial and hyperbolic knot invariants via deep learning (Q5072603) (← links)
• Constructive Approximation of Continuous Interval-Valued Functions (Q5073866) (← links)
• Quantitative Approximation Results for Complex-Valued Neural Networks (Q5073921) (← links)
• A Deep Learning Method for Elliptic Hemivariational Inequalities (Q5074898) (← links)
• Mean Field Analysis of Deep Neural Networks (Q5076694) (← links)
• Deep ReLU Networks Overcome the Curse of Dimensionality for Generalized Bandlimited Functions (Q5079533) (← links)
• Estimation of Dynamic Discrete Choice Models Using Artificial Neural Network Approximations (Q5080138) (← links)
• Consistent GMM Residuals-Based Tests of Functional Form (Q5080550) (← links)
• Full error analysis for the training of deep neural networks (Q5083408) (← links)