Pages that link to "Item:Q2391468"
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The following pages link to Identification and modeling of nonlinear dynamical systems using a novel self-organizing RBF-based approach (Q2391468):
Displaying 12 items.
- The new method of flatness pattern recognition based on GA-RBF-ARX and comparative research (Q335508) (← links)
- A growing and pruning sequential learning algorithm of hyper basis function neural network for function approximation (Q461158) (← links)
- Hybrid GMDH-type modeling for nonlinear systems: Synergism to intelligent identification (Q833652) (← links)
- Nonlinear system identification using quasi-ARX RBFN models with a parameter-classified scheme (Q1693815) (← links)
- A deep belief network with PLSR for nonlinear system modeling (Q2181070) (← links)
- Multi-step ahead nonlinear identification of Lorenz's chaotic system using radial basis neural network with learning by clustering and particle swarm optimization (Q2470230) (← links)
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- (Q4706642) (← links)
- Anti-disturbance control for HVs system subject to nonlinear actuator characteristics with extended state observer (Q6136524) (← links)
- Novel numerical method for uncertainty analysis of coupled vibro-acoustic problem considering thermal stress (Q6194198) (← links)
- An improved stochastic configuration network for concentration prediction in wastewater treatment process (Q6492537) (← links)
- Identification of polynomial nonlinear systems based on center manifold (Q6537304) (← links)
