Pages that link to "Item:Q868300"
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The following pages link to Recurrent neuro-fuzzy hybrid-learning approach to accurate system modeling (Q868300):
Displaying 12 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)
- Robust digital design of continuous-time nonlinear control systems using adaptive prediction and random-local-optimal NARMAX model (Q905278) (← links)
- Incremental learning of dynamic fuzzy neural networks for accurate system modeling (Q1037919) (← links)
- An orthogonal least-squares method for recurrent fuzzy-neural modeling. (Q1414807) (← links)
- Using recurrent neuro-fuzzy techniques for the identification and simulation of dynamic systems (Q1852070) (← links)
- ANNEALED CHAOTIC LEARNING FOR TIME SERIES PREDICTION IN IMPROVED NEURO-FUZZY NETWORK WITH FEEDBACKS (Q3401068) (← links)
- A new pseudo-Gaussian-based recurrent fuzzy CMAC model for dynamic systems processing (Q3497772) (← links)
- (Q4377031) (← links)
- A hybrid of electromagnetism-like mechanism and back-propagation algorithms for recurrent neural fuzzy systems design (Q4909270) (← links)
- Hybrid learning-based neuro-fuzzy inference system: a new approach for system modeling (Q5402746) (← links)
- Improving prediction models applied in systems monitoring natural hazards and machinery (Q5403381) (← links)