Pages that link to "Item:Q2490185"
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The following pages link to A compensation-based recurrent fuzzy neural network for dynamic system identification (Q2490185):
Displaying 12 items.
- Dynamic system modeling using a recurrent interval-valued fuzzy neural network and its hardware implementation (Q410753) (← links)
- A self-constructing compensatory neural fuzzy system and its applications (Q815340) (← links)
- A fuzzy-neural multi-model for nonlinear systems identification and control (Q835254) (← links)
- Identification and prediction using recurrent compensatory neuro-fuzzy systems (Q1770731) (← links)
- Using recurrent neuro-fuzzy techniques for the identification and simulation of dynamic systems (Q1852070) (← links)
- WSVR-based fuzzy neural network with annealing robust algorithm for system identification (Q1926304) (← links)
- A novel compensation-based recurrent fuzzy neural network and its learning algorithm (Q2267000) (← links)
- Recurrent wavelet-based neuro fuzzy networks for dynamic system identification (Q2486799) (← links)
- An efficient compensatory neuro-fuzzy system and its applications (Q2869771) (← links)
- Identification of restoring forces in non-linear vibration systems using fuzzy adaptive neural networks (Q2882058) (← links)
- A new pseudo-Gaussian-based recurrent fuzzy CMAC model for dynamic systems processing (Q3497772) (← links)
- Compact self‐constructing recurrent fuzzy neural network with decision feedback for quadrature amplitude modulation signaling systems (Q4908489) (← links)
