Pages that link to "Item:Q1708845"

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

Displaying 50 items.

• Convex and concave envelopes of artificial neural network activation functions for deterministic global optimization (Q2689856) (← links)
• Time difference physics-informed neural network for fractional water wave models (Q2690093) (← links)
• Order of approximation for exponential sampling type neural network operators (Q2691560) (← links)
• Multi-criteria classification for pricing European options (Q2691648) (← links)
• Computation and learning in high dimensions. Abstracts from the workshop held August 1--7, 2021 (hybrid meeting) (Q2693017) (← links)
• Applied harmonic analysis and data science. Abstracts from the workshop held November 28 -- December 4, 2021 (hybrid meeting) (Q2693052) (← links)
• An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic differential operator (Q2693426) (← links)
• Deep learning for the generation of heuristics in answer set programming: a case study of graph coloring (Q2694562) (← links)
• Low-rank kernel approximation of Lyapunov functions using neural networks (Q2696116) (← links)
• A three layer neural network can represent any multivariate function (Q2697707) (← links)
• BI-GreenNet: learning Green's functions by boundary integral network (Q2699491) (← links)
• Development of the semantic space ``mathematics'' by integrating a subspace of its applied area (Q2700040) (← links)
• Dynamic neural networks for output feedback control (Q2710019) (← links)
• Stabilizing and robustifying the learning mechanisms of artificial neural networks in control engineering applications (Q2730021) (← links)
• Performance comparison of neural network models: backpropagation<i>vs</i>. fuzzy artmap (Q2763948) (← links)
• Feedforward neural network construction using cross validation (Q2770872) (← links)
• Enhanced 3D shape recovery using the neural-based hybrid reflectance model (Q2784825) (← links)
• Neural networks and chaos: construction, evaluation of chaotic networks, and prediction of chaos with multilayer feedforward networks (Q2787720) (← links)
• Feedback linearisation control of an induction machine augmented by single-hidden layer neural networks (Q2792704) (← links)
• A note on the size of denoising neural networks (Q2797780) (← links)
• Adaptive fuzzy switched control design for uncertain nonholonomic systems with input nonsmooth constraint (Q2821355) (← links)
• Approximating high-dimensional dynamics by barycentric coordinates with linear programming (Q2821598) (← links)
• Neural relax (Q2840884) (← links)
• Mesh deformation based on artificial neural networks (Q2847522) (← links)
• Distributed consensus control for multi-agent systems using terminal sliding mode and Chebyshev neural networks (Q2857115) (← links)
• Online artificial neural network model-based nonlinear model predictive controller for the meridian UAS (Q2857637) (← links)
• Combining Multi-class SVMs with Linear Ensemble Methods that Estimate the Class Posterior Probabilities (Q2862304) (← links)
• Computational advantages of reverberating loops for sensorimotor learning (Q2885109) (← links)
• Neural Network On-Line Modeling and Controlling Method for Multi-Variable Control of Wastewater Treatment Processes (Q2930818) (← links)
• Adaptive backstepping controller design for nonlinear uncertain systems using fuzzy neural systems (Q2935082) (← links)
• Artificial Neural Networks-Based Forecasting: An Attractive Option for Just-in-Time Systems (Q2958677) (← links)
• Distributed adaptive neural network control for a class of heterogeneous nonlinear multi-agent systems subject to actuation failures (Q2974206) (← links)
• On the theory of flexible neural networks – Part I: a survey paper (Q2974214) (← links)
• Model selection approaches for non-linear system identification: a review (Q3006178) (← links)
• Revisiting Tests for Neglected Nonlinearity Using Artificial Neural Networks (Q3015448) (← links)
• The Benefits of Bagging for Forecast Models of Realized Volatility (Q3063858) (← links)
• Foreign exchange market prediction with multiple classifiers (Q3065510) (← links)
• A new neural network-based approach for self-tuning control of nonlinear SISO discrete-time systems (Q3072443) (← links)
• Neural networks output feedback controllers using nonlinear parametric wavelet functions (Q3072545) (← links)
• Mathematical Foundations of Non-Classical Extensions of Similarity Theory (Q3084418) (← links)
• Cooperative adaptive control for synchronization of second-order systems with unknown nonlinearities (Q3098482) (← links)
• Direct adaptive neural network controller for a class of nonlinear systems based on fuzzy estimator of the control error (Q3102814) (← links)
• Scalable and Invertible PMNN Model for MagnetoRheological Fluid Dampers (Q3110977) (← links)
• Active Data Collection for Efficient Estimation and Comparison of Nonlinear Neural Models (Q3116928) (← links)
• Principles and Typical Computational Limitations of Sparse Speaker Separation Based on Deterministic Speech Features (Q3116931) (← links)
• Neural Networks for Functional Approximation and System Identification (Q3123291) (← links)
• Adaptive control of non-linear continuous-time systems using neural networks—general relative degree and MIMO cases (Q3136214) (← links)
• (Q3143833) (← links)
• Derivative-free optimization and neural networks for robust regression (Q3145056) (← links)
• A Monte Carlo EM Approach for Partially Observable Diffusion Processes: Theory and Applications to Neural Networks (Q3150002) (← links)