Pages that link to "Item:Q4205381"

The following pages link to Orthogonal least squares methods and their application to non-linear system identification (Q4205381):

Displaying 50 items.

• Model identification of a network as compressing sensing (Q2434442) (← links)
• Building an interpretable fuzzy rule base from data using Orthogonal Least Squares - Application to a depollution problem (Q2458683) (← links)
• Modelling and identification of nonlinear deterministic systems in the delta-domain (Q2470039) (← links)
• Identification of nonlinear additive FIR systems (Q2486104) (← links)
• On the uniqueness of overcomplete dictionaries, and a practical way to retrieve them (Q2497239) (← links)
• Wavelet neural networks: a practical guide (Q2510734) (← links)
• A recursive algorithm for nonlinear model identification (Q2518423) (← links)
• Computational system identification for Bayesian NARMAX modelling (Q2628471) (← links)
• When does OMP achieve exact recovery with continuous dictionaries? (Q2659744) (← links)
• Kernel-based methods for Volterra series identification (Q2665176) (← links)
• Investigation of determinism in heart rate variability (Q2728741) (← links)
• Fast fuzzy orthogonal least square algorithm. (Q2785171) (← links)
• Identification and frequency domain analysis of non-stationary and nonlinear systems using time-varying NARMAX models (Q2792948) (← links)
• Offset-free multistep nonlinear model predictive control under plant-model mismatch (Q2795805) (← links)
• Computational system identification of continuous-time nonlinear systems using approximate Bayesian computation (Q2821368) (← links)
• A novel fuzzy c-regression model algorithm using a new error measure and particle swarm optimization (Q2934502) (← links)
• Using zero-norm constraint for sparse probability density function estimation (Q2935114) (← links)
• Predictive Top-Down Parsing for Hyperedge Replacement Grammars (Q2947208) (← links)
• Model selection approaches for non-linear system identification: a review (Q3006178) (← links)
• On-line wavelet estimation of Hammerstein system nonlinearity (Q3053682) (← links)
• PYRAMIDAL HYBRID APPROACH: WAVELET NETWORK WITH OLS ALGORITHM-BASED IMAGE CLASSIFICATION (Q3084702) (← links)
• Adaptive model selection using orthogonal least squares methods (Q3128273) (← links)
• Non-linear system identification using wavelet multiresolution models (Q3151500) (← links)
• Improvements in stable inversion of NARX models by using Mann iteration (Q3177940) (← links)
• (Q3370508) (← links)
• Identification of coupled map lattice models for spatio-temporal patterns using wavelets (Q3437459) (← links)
• Wavelet based non-parametric NARX models for nonlinear input–output system identification (Q3437465) (← links)
• Backward elimination model construction for regression and classification using leave-one-out criteria (Q3437481) (← links)
• A modified orthogonal forward regression least-squares algorithm for system modelling from noisy regressors (Q3447415) (← links)
• Low-Rank and Sparse Dictionary Learning (Q3449318) (← links)
• Sparsity Based Methods for Overparameterized Variational Problems (Q3454487) (← links)
• Non-linear system identification using neural networks (Q3483206) (← links)
• Non-linear systems identification using radial basis functions (Q3487258) (← links)
• Practical identification of NARMAX models using radial basis functions (Q3489914) (← links)
• Identification and analysis of spatio-temporal dynamical systems using wavelets (Q3497774) (← links)
• IDENTIFICATION OF BINARY CELLULAR AUTOMATA FROM SPATIO-TEMPORAL BINARY PATTERNS USING A FOURIER REPRESENTATION (Q3510210) (← links)
• An extended orthogonal forward regression algorithm for system identification using entropy (Q3543002) (← links)
• An adaptive orthogonal search algorithm for model subset selection and non-linear system identification (Q3543004) (← links)
• Identification of partial differential equation models for a class of multiscale spatio-temporal dynamical systems (Q3550772) (← links)
• Improved model identification for non-linear systems using a random subsampling and multifold modelling (RSMM) approach (Q3603725) (← links)
• A neural network approach to control performance assessment (Q3613742) (← links)
• Improved parameter estimates for non-linear dynamical models using a bootstrap method (Q3644823) (← links)
• Identification of non-linear output-affine systems using an orthogonal least-squares algorithm (Q3823443) (← links)
• Parameter identification and convergence analysis based on the least-squares method for a class of non-linear systems Part 1. SISO case (Q3970203) (← links)
• Orthogonal estimation algorithm for complex number systems (Q4012731) (← links)
• Orthogonal least-squares parameter estimation algorithms for non-linear stochastic systems (Q4018404) (← links)
• Neural networks for nonlinear dynamic system modelling and identification (Q4020049) (← links)
• Identification of multi-class linear and nonlinear systems (Q4021541) (← links)
• Parameter estimation for stochastic nonlinear rational models (Q4036145) (← links)
• Extended model set, global data and threshold model identification of severely non-linear systems (Q4205380) (← links)