Pages that link to "Item:Q2001109"

The following pages link to Identification of neuro-fractional Hammerstein systems: a hybrid frequency-/time-domain approach (Q2001109):

Displaying 8 items.

• Fractional order neural networks for system identification (Q2122425) (← links)
• Identification for Hammerstein nonlinear systems based on universal spline fractional order LMS algorithm (Q2207073) (← links)
• Fully parametric identification for continuous time fractional order Hammerstein systems (Q2291084) (← links)
• Nonlinear system identification using fractional Hammerstein-Wiener models (Q2296833) (← links)
• Improving the modelling efficiency of Hammerstein system using Kalman filter and its parameters optimised using social mimic algorithm: application to heating and cascade water tanks (Q2667432) (← links)
• A multiple‐input–single‐output fractional‐order Hammerstein model identification based on modified neural network (Q4557078) (← links)
• Robust identification of MISO neuro‐fractional‐order Hammerstein systems (Q5225137) (← links)
• Parameter learning for the nonlinear system described by Hammerstein model with output disturbance (Q6580891) (← links)