Cardim, RodrigoTeixeira, Marcelo C. M.Assuncao, EdvaldoOki, Nobuode Carvalho, Aparecido A.Covacic, Marcio R.King, IWang, J.Chan, L.Wang, D. L.2014-05-202014-05-202006-01-01Neural Information Processing, Pt 3, Proceedings. Berlin: Springer-verlag Berlin, v. 4234, p. 1131-1140, 2006.0302-9743http://hdl.handle.net/11449/9668Analog neural systems that can automatically find the minimum value of the outputs of unknown analog systems, described by convex functions, are studied. When information about derivative or gradient are not used, these systems are called analog nonderivative optimizers. An electronic circuit for the analog neural nonderivative optimizer proposed by Teixeira and Zak, and its simulation with software PSPICE, is presented. With the simulation results and hardware implementation of the system, the validity of the proposed optimizer can be verified. These results are original, from the best of the authors knowledge.1131-1140engArtigo10.1007/11893295_125WOS:000241759000125Acesso restrito8755160580142626152571794768907650620873805714620000-0002-1072-3814