Pages that link to "Item:Q751636"
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The following pages link to Networks and the best approximation property (Q751636):
Displaying 50 items.
- Feedforward control of a class of hybrid systems using an inverse model (Q426114) (← links)
- A constraint sampling approach for multi-stage robust optimization (Q445078) (← links)
- Bayesian ARTMAP for regression (Q461131) (← links)
- Comparing fixed and variable-width Gaussian networks (Q889280) (← links)
- Design and performance analysis of deterministic learning of sampled-data nonlinear systems (Q893700) (← links)
- Establishing criteria to ensure successful feedforward artificial neural network modelling of mechanical systems (Q969828) (← links)
- Solving a system of nonlinear integral equations by an RBF network (Q971682) (← links)
- A new kernel-based approach for linear system identification (Q985267) (← links)
- Model predictive control of nonlinear hybrid systems with discrete inputs employing a hybrid fuzzy model (Q1003539) (← links)
- Classification and identification of mosquito species using artificial neural networks (Q1004963) (← links)
- Neural networks for control systems - a survey (Q1195800) (← links)
- From basis functions to basis fields: Vector field approximation from sparse data (Q1202326) (← links)
- Some extensions of radial basis functions and their applications in artificial intelligence (Q1207559) (← links)
- On the approximation of functional classes equipped with a uniform measure using ridge functions (Q1300147) (← links)
- Extending the smoothing spline estimate (Q1339848) (← links)
- A theory for memory-based learning (Q1342731) (← links)
- On radial basis function nets and kernel regression: Statistical consistency, convergence rates, and receptive field size (Q1345261) (← links)
- Using neural networks to aid the diagnosis of breast implant rupture (Q1362943) (← links)
- Best approximation by linear combinations of characteristic functions of half-spaces. (Q1395802) (← links)
- Adaptive NN control for a class of strict-feedback discrete-time nonlinear systems (Q1400314) (← links)
- Approximation of function and its derivatives using radial basis function networks (Q1401070) (← links)
- Approximation properties of local bases assembled from neural network transfer functions (Q1596850) (← links)
- Optimised PWL recursive approximation and its application to neuro-fuzzy systems (Q1609418) (← 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)
- A neural network method for nonlinear time series analysis (Q1726175) (← links)
- Provable approximation properties for deep neural networks (Q1742817) (← links)
- A unified framework for harmonic analysis of functions on directed graphs and changing data (Q1742819) (← links)
- Function approximation on non-Euclidean spaces (Q1763473) (← links)
- A Monte Carlo strategy for data-based mathematical modeling (Q1903397) (← links)
- Modelling and control of nonlinear, operating point dependent systems via associative memory networks (Q1915804) (← links)
- A neural network controller with PID compensation for trajectory tracking of robotic manipulators (Q1925054) (← links)
- Using radial basis function networks for function approximation and classification (Q1954367) (← links)
- Predictive control of air-fuel ratio in aircraft engine on fuel-powered unmanned aerial vehicle using fuzzy-RBF neural network (Q2005275) (← links)
- Topological properties of the set of functions generated by neural networks of fixed size (Q2031060) (← links)
- A direct approach for function approximation on data defined manifolds (Q2057766) (← links)
- Deep learning Gauss-Manin connections (Q2113261) (← links)
- Best \(k\)-layer neural network approximations (Q2117342) (← links)
- Stretchy binary classification (Q2179095) (← links)
- Adaptive neural network control for nonstrict-feedback uncertain nonlinear systems with input delay and asymmetric time-varying state constraints (Q2230836) (← links)
- Effective implementation to reduce execution time of a low-rank matrix approximation problem (Q2231284) (← links)
- A survey of randomized algorithms for training neural networks (Q2282875) (← links)
- Density problem and approximation error in learning theory (Q2319010) (← links)
- An application of mapping neural networks and a digital signal processor for cochlear neuroprostheses (Q2365828) (← links)
- On optimal random nets (Q2365849) (← links)
- Restricted gradient-descent algorithm for value-function approximation in reinforcement learning (Q2389624) (← links)
- Face and palmprint pixel level fusion and kernel DCV-RBF classifier for small sample biometric recognition (Q2643909) (← links)
- Machine learning based data retrieval for inverse scattering problems with incomplete data (Q2660886) (← links)
- Non-parametric identification of homogeneous dynamical systems (Q2665098) (← links)
- Hierarchical sparse method with applications in vision and speech recognition (Q2836534) (← links)
