Time series prediction using kernel adaptive filter with least mean absolute third loss function
From MaRDI portal
Publication:1637252
DOI10.1007/s11071-017-3707-7OpenAlexW2743848944MaRDI QIDQ1637252
Lu Lu, Badong Chen, Haiquan Zhao
Publication date: 7 June 2018
Published in: Nonlinear Dynamics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11071-017-3707-7
recursive algorithmkernel adaptive filterleast mean absolute third algorithmseries predictionvariable learning rate (VLR)
Related Items (3)
Periodic wave solutions and stability analysis for the (3+1)-D potential-YTSF equation arising in fluid mechanics ⋮ Fractal solitons, arbitrary function solutions, exact periodic wave and breathers for a nonlinear partial differential equation by using bilinear neural network method ⋮ \(M\) lump and interaction between \(M\) lump and \(N\) stripe for the third-order evolution equation arising in the shallow water
Cites Work
- A novel normalized sign algorithm for system identification under impulsive noise interference
- Principal component analysis for non-stationary time series based on detrended cross-correlation analysis
- Collaborative adaptive Volterra filters for nonlinear system identification in \(\alpha\)-stable noise environments
- Entropy analysis of integer and fractional dynamical systems
- Kernel affine projection algorithms
- A noise resilient variable step-size LMS algorithm
- Variable step-size LMS algorithm with a quotient form
- Numerical solutions of fuzzy differential equations using reproducing kernel Hilbert space method
- Effects of non-Gaussian noise on logical stochastic resonance in a triple-well potential system
- Improved convergence analysis of stochastic gradient adaptive filters using the sign algorithm
- The Kernel Least-Mean-Square Algorithm
- Extended Kernel Recursive Least Squares Algorithm
- Stochastic Behavior Analysis of the Gaussian Kernel Least-Mean-Square Algorithm
- Stochastic Analysis of a Stable Normalized Least Mean Fourth Algorithm for Adaptive Noise Canceling With a White Gaussian Reference
- Diffusion Information Theoretic Learning for Distributed Estimation Over Network
- Mean-square performance of a convex combination of two adaptive filters
- Convergence analysis of the sign algorithm for adaptive filtering
- The Kernel Recursive Least-Squares Algorithm
This page was built for publication: Time series prediction using kernel adaptive filter with least mean absolute third loss function