Pages that link to "Item:Q1770731"
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The following pages link to Identification and prediction using recurrent compensatory neuro-fuzzy systems (Q1770731):
Displaying 17 items.
- Qualitative modeling of dynamical systems employing continuous-time recurrent fuzzy systems (Q622070) (← links)
- Modeling with discrete-time recurrent fuzzy systems via mixed-integer optimization (Q695247) (← 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)
- Recurrent neuro-fuzzy hybrid-learning approach to accurate system modeling (Q868300) (← links)
- A new recurrent neurofuzzy network for identification of dynamic systems (Q878980) (← links)
- A hierarchical recurrent neuro-fuzzy model for system identification (Q1394975) (← links)
- Compensatory neural fuzzy network with symbiotic particle swarm optimization for temperature control (Q1634998) (← links)
- NARMAX time series model prediction: feedforward and recurrent fuzzy neural network approaches (Q1770732) (← links)
- Using recurrent neuro-fuzzy techniques for the identification and simulation of dynamic systems (Q1852070) (← links)
- An efficient self-organizing RBF neural network for water quality prediction (Q1952552) (← 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)
- A compensation-based recurrent fuzzy neural network for dynamic system identification (Q2490185) (← links)
- An efficient compensatory neuro-fuzzy system and its applications (Q2869771) (← links)
- Identification and prediction using neuro-fuzzy networks with symbiotic adaptive particle swarm optimization (Q2888207) (← links)
- Advances in Neural Networks – ISNN 2005 (Q5707160) (← links)
