Generalized neural network for nonsmooth nonlinear programming problems

In 1988 Kennedy and Chua introduced the dynamical canonical nonlinear programming circuit (NPC) to solve in real time nonlinear programming problems where the objective function and the constraints are smooth (twice continuously differentiable) functions. In this paper, a generalized circuit is intr...

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Veröffentlicht in:	IEEE transactions on circuits and systems. I, Regular papers Jg. 51; H. 9; S. 1741 - 1754
Hauptverfasser:	Forti, M., Nistri, P., Quincampoix, M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.09.2004 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Analog circuits Circuit simulation Computational modeling Diodes Dynamic programming Functional programming Neural networks Neurons Nonlinear programming Quadratic programming Studies
ISSN:	1549-8328, 1558-0806
Online-Zugang:	Volltext
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