Pages that link to "Item:Q924770"
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The following pages link to A novel approach based on recurrent neural networks applied to nonlinear systems optimization (Q924770):
Displaying 9 items.
- Stochastic stability of discrete-time uncertain recurrent neural networks with Markovian jumping and time-varying delays (Q409836) (← links)
- Neural approach for solving several types of optimization problems (Q857585) (← links)
- An outer-approximation guided optimization approach for constrained neural network inverse problems (Q2097633) (← links)
- Solving time-varying nonlinear inequalities using continuous and discrete-time Zhang dynamics (Q2855743) (← links)
- A neural differential evolution identification approach to nonlinear systems and modelling of shape memory alloy actuator (Q4576601) (← links)
- Artificial Intelligence and Soft Computing - ICAISC 2004 (Q4666263) (← links)
- The optimisation of electromagnetic devices using a combined finite element/neural network approach with on‐line training (Q4700664) (← links)
- A New Extension of Newton Algorithm for Nonlinear System Modelling Using RBF Neural Networks (Q5353409) (← links)
- Design and analysis of an efficient neural network model for solving nonlinear optimization problems (Q5426614) (← links)
