Neural networks for solving constrained optimization problems

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

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In this paper we consider several Neural Network architectures for solving constrained optimization problems with inequality constrains. We present a new architecture based on the exact penalty function approach. Simulation results based on SIMULINK® models are given and compared.
Originele taal-2Engels
Titel4th WSEAS Multi-Conference on Circuits, Systems, Communications and Computers (CSCC'2000), Vouliagmeni (Athens), Greece, July 10-15, 2000
Pagina's1351-1359
StatusGepubliceerd - 2000

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