Abstract
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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CITATION STYLE
Yan, Y. (2014). A new nonlinear neural network for solving QP problems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8866, pp. 347–357). Springer Verlag. https://doi.org/10.1007/978-3-319-12436-0_39
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