Pages that link to "Item:Q325722"
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The following pages link to Data filtering based forgetting factor stochastic gradient algorithm for Hammerstein systems with saturation and preload nonlinearities (Q325722):
Displaying 11 items.
- Multi-step-length gradient iterative algorithm for equation-error type models (Q1647799) (← links)
- Modified multi-innovation stochastic gradient algorithm for Wiener-Hammerstein systems with backlash (Q1648033) (← links)
- Auxiliary model based multi-innovation stochastic gradient identification algorithm for periodically non-uniformly sampled-data Hammerstein systems (Q1657036) (← links)
- Parameter identification of systems with preload nonlinearities based on the finite impulse response model and negative gradient search (Q2017916) (← links)
- Improved multi-layer online sequential extreme learning machine and its application for hot metal silicon content (Q2217590) (← links)
- Data filtering based recursive least squares algorithm for Hammerstein systems using the key-term separation principle (Q2510471) (← links)
- Some stochastic gradient algorithms for Hammerstein systems with piecewise linearity (Q2697720) (← links)
- Modelling and identification of nonlinear cascade systems with backlash input and static output nonlinearities (Q5861070) (← links)
- Decomposition‐based over‐parameterization forgetting factor stochastic gradient algorithm for Hammerstein‐Wiener nonlinear systems with non‐uniform sampling (Q6060476) (← links)
- The data filtering based multiple‐stage Levenberg–Marquardt algorithm for Hammerstein nonlinear systems (Q6092381) (← links)
- Correlation analysis-based parameter learning of Hammerstein nonlinear systems with output noise (Q6173490) (← links)
