期刊
ADVANCES IN NEURAL NETWORKS - ISNN 2014
卷 8866, 期 -, 页码 347-357出版社
SPRINGER-VERLAG BERLIN
DOI: 10.1007/978-3-319-12436-0_39
关键词
Nonlinear neural network; Lyapunov stability; Quadratic programming
In this paper, a new nonlinear neural network is proposed to solving quadratic programming problems subject to linear equality and inequality constraints without any parameter tuning. This nonlinear neural network is proved to be stable in the sense of Lyapunov under certain conditions. Simulation results are further presented to show the effectiveness and performance of this neural network.
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