A novel approach based on recurrent neural networks applied to nonlinear systems optimization

DOI10.1016/j.apm.2005.08.007zbMath1152.90616OpenAlexW2059006875MaRDI QIDQ924770

Lucia Valeria de Arruda, Wagner Caradori do Amaral, Ivan Nunes da Silva

Publication date: 19 May 2008

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/11449/8885

zbMATH Keywords

nonlinear programmingrecurrent neural networksHopfield networksnonlinear optimization problems

Mathematics Subject Classification ID

Nonlinear programming (90C30) Deterministic network models in operations research (90B10) Neural networks for/in biological studies, artificial life and related topics (92B20)

Related Items (2)

Stochastic stability of discrete-time uncertain recurrent neural networks with Markovian jumping and time-varying delays ⋮ Solving time-varying nonlinear inequalities using continuous and discrete-time Zhang dynamics

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