What is the advantage of using Recurrent Neural Networks for optimization problems?

01 January 1970 1 4K Report

Especially Non linear and non convex optimization problems.Are these far better than the traditional optimization techniques.

M. J. Ebadi

Hi, the following papers can help you:

https://www.researchgate.net/publication/312141846_A_projection_type_steepest_descent_neural_network_for_solving_a_class_of_nonsmooth_optimization_problems

https://www.researchgate.net/publication/324531026_An_efficient_one-layer_recurrent_neural_network_for_solving_a_class_of_nonsmooth_pseudoconvex_optimization_problems

https://www.researchgate.net/publication/283448488_A_non-penalty_recurrent_neural_network_for_solving_a_class_of_constrained_optimization_problems

https://www.researchgate.net/publication/236899596_A_New_Steepest_Descent_Differential_Inclusion-Based_Method_for_Solving_General_Nonsmooth_Convex_Optimization_Problems

https://www.researchgate.net/publication/236899619_A_differential_inclusion-based_approach_for_solving_nonsmooth_convex_optimization_problems

https://www.researchgate.net/publication/236180856_A_recurrent_neural_network_for_solving_a_class_of_generalized_convex_optimization_problems

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