Forgetting Factor
Implementation of the Least-Squares Lattice with Order and Forgetting Factor Estimation for FPGA
... and forgetting factor of identified system was developed and implemented as a PCORE coprocessor for Xilinx ...and forgetting factor estimation was implemented using the logarithmic numbers ...
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Forgetting Factor Nonlinear Functional Analysis for Iterative Learning System with Time-Varying Disturbances and Unknown Uncertain
... variable forgetting factor and high-order feed-forward ILC Feed-forward control improves the anti-jamming capability and enhances the robustness of the nonlinear system; thus, the tracking errors ...
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Variable forgetting factor mechanisms for diffusion recursive least squares algorithm in sensor networks
... variable forgetting factor (VFF) techniques for diffusion recursive least squares (DRLS) ...the forgetting factor automatically according to the posteriori error ...fixed forgetting ...
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Time varying Forgetting Factor Stochastic Gradient Algorithm for Nonlinear Systems with Color Noise
... In practical engineering situations, many systems exhibit nonlinear phenomena, and the researchers aim to take advan- tage of nonlinear phenomena to solve practical problems. For example, the detection and estimation of ...
6
Recursive parameter estimation for discrete time model of an electro hydraulic servo system with varying forgetting factor
... 2011 In general, an electro-hydraulic servo EHS system inherently suffers from parameter uncertainties and variation which makes the modeling and controller design complicated.. To encou[r] ...
14
Model Switching and Model Averaging in Time-Varying Parameter Regression Models
... use forgetting factor methods because the computational burden of doing MCMC is simply too ...approximate forgetting factor ...using forgetting factor ...
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Cancellation of acoustic reverberation using adaptive filters
... the FTF to be able to track changes the filter must be windowed. An exponential window was suggested in [20] by using a forgetting factor A. in the simulations the FTF filter diverged ev[r] ...
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Global solar radiation prediction using hybrid online sequential extreme learning machine model
... In this study, a regularized online sequential extreme learning machine with variable forgetting factor (FOS-ELM) as a new novel case of the ELM model is developed to predict the global solar radiation for ...
19
A Survey on Convergence of Various Adaptive Algorithms
... A group of algorithms explained in this paper. Each algorithm presents particular characteristics of computational complexity and speed of convergence. This leads to determine the best possible solution to an ...
7
Large time-varying parameter VARs
... a forgetting factor, , which controls the degree of time-variation in the VAR coefficients and a decay factor, , which is used in the EWMA estimation of the error covariance ...
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Model switching and model averaging in time-varying parameter regression models
... the forgetting factor approach forecasts slightly better than the switching linear Gaussian state space model, provided we allow for heteroskedasticity and do not choose forgetting factor ...
25
New Digital Signal Processing Method for Spectrum Interference Monitoring
... variation. The measurement results related to the settling time analysis are reported in Table I. Settling Time Versus Forgetting Factor. Outside this interval it possib[r] ...
14
Adaptive ARIMA Model based on Lazy Learning Algorithm for Short Period Electric Load Forecasting
... constant forgetting factor that gives a larger weight to more recent train data for dealing with non-stationary change of stochastic ...The forgetting factor governs the recursive least ...
5
Identification of MIMO Hammerstein models using Singular Value Decomposition approach
... For Hammerstein systems, the parameters from the identification model include the products of the original system parameters [3, 25], so separating the original parameters from the obtained parameter estimates of the ...
9
Real time active noise cancellation using adaptive filters following RLS and LMS algorithm
... the forgetting factor and regularization parameter ...The forgetting factor is a positive constant less than unity, which gives a measure of the memory of the algorithm; and the regularization ...
5
When is forgetting not forgetting? A discursive analysis of differences in forgetting talk between adults with cystic fibrosis with different levels of adherence to nebulizer treatments
... cited forgetting as the reason for not undertaking their nebulizer ...of forgetting in adherence behavior, suggesting that nebulizer treatments in adults may be so routinized that forgetting is not ...
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When is forgetting not forgetting? A discursive analysis of differences in forgetting talk between adults with cystic fibrosis with different levels of adherence to nebulizer treatments
... cited forgetting as the reason for not undertaking their nebulizer ...of forgetting in adherence behavior, suggesting that nebulizer treatments in adults may be so routinized that forgetting is not ...
14
Forgetting and the extension of memory in Lymnaea
... that forgetting is due to interfering events is not new (Jenkins and Dallenbach, 1924) and has been tested before in both vertebrates and ...that forgetting was due to ‘interfering events’ that occurred ...
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Experience of maintaining tooth brushing for children born with a cleft lip and/or palate
... used forgetting to describe a conscious decision to miss tooth brushing to manage the challenges in everyday life, indi- cating that intentions might be difficult to enact due to various demands in family ...
10
ERP correlates of forgetting: an investigation of resource allocation as a potential neural mechanism behind retrieval induced forgetting
... think. Other studies have found that RIF effects are insensitive to age (Hogge, Adam, & Collette, 2008), and illnesses that have been known to affect inhibitory control (Moulin et al., 2002). Even amongst healthy ...
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