A cooperative neural dynamic model for solving general convex nonlinear optimization problems with fuzzy parameters and an application in manufacturing systems

In the presented study, the solution of the fuzzy nonlinear optimization problems (FNLOPs) is calculated using a recurrent neural network (RNN) model. Since there is a few research for solving FNLOP by RNN's, we give a new approach to solve the problem. By reducing the original program to an in...

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Vydáno v:	International journal of adaptive control and signal processing Ročník 38; číslo 6; s. 2272 - 2300
Hlavní autoři:	Jahangiri, Mohammadreza, Nazemi, Alireza
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Bognor Regis Wiley Subscription Services, Inc 01.06.2024
Témata:	Dynamic models Kuhn-Tucker method Optimization Recurrent neural networks
ISSN:	0890-6327, 1099-1115
On-line přístup:	Získat plný text
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