Title
Generalized Neural Network for Nonsmooth Nonlinear Programming Problems
Abstract
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 introduced (G-NPC), which is aimed at solving in real time a much wider class of nonsmooth nonlinear pro...
Year
DOI
Venue
2004
10.1109/TCSI.2004.834493
IEEE Transactions on Circuits and Systems I: Regular Papers
Keywords
Field
DocType
Neural networks,Functional programming,Dynamic programming,Neurons,Diodes,Quadratic programming,Analog circuits,Computational modeling,Circuit simulation
Convergence (routing),Differential inclusion,Mathematical optimization,Control theory,Nonlinear programming,Regular polygon,Quadratic programming,Smoothness,Artificial neural network,Convex optimization,Mathematics
Journal
Volume
Issue
ISSN
51
9
1549-8328
Citations 
PageRank 
References 
131
6.39
4
Authors
3
Search Limit
100131
Name
Order
Citations
PageRank
M. Forti137923.31
P. Nistri231315.79
M. Quincampoix346350.08