Pages that link to "Item:Q3161127"
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The following pages link to Efficient recurrent neural network model for the solution of general nonlinear optimization problems (Q3161127):
Displaying 14 items.
- A practical nonlinear dynamic framework for solving a class of fractional programming problems (Q330727) (← links)
- A dynamic system model for solving convex nonlinear optimization problems (Q430477) (← links)
- A recurrent neural network for solving a class of generalized convex optimization problems (Q459437) (← links)
- An efficient dynamic model for solving a portfolio selection with uncertain chance constraint models (Q515750) (← links)
- A dynamical model for solving degenerate quadratic minimax problems with constraints (Q654740) (← links)
- A novel approach based on recurrent neural networks applied to nonlinear systems optimization (Q924770) (← links)
- Recurrent neural network model based on projective operator and its application to optimization problems (Q944661) (← links)
- A recurrent neural network for nonlinear fractional programming (Q1955212) (← links)
- A neurodynamic optimization technique based on overestimator and underestimator functions for solving a class of non-convex optimization problems (Q2228767) (← links)
- A new neural network for solving nonlinear projection equations (Q2643775) (← links)
- Solving a class of non-convex quadratic problems based on generalized KKT conditions and neurodynamic optimization technique (Q3466283) (← links)
- A globally convergent neurodynamics optimization model for mathematical programming with equilibrium constraints (Q5122257) (← links)
- A class of neural networks for solving optimization problems with global attractivity (Q5368477) (← links)
- Design and analysis of an efficient neural network model for solving nonlinear optimization problems (Q5426614) (← links)
