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Abstract:
This paper presents a new cooperative projection neural network for fast solving quadratic convex programming problems, including linear reconstruction problems. The proposed cooperative projection neural network consists of a weighted combination of two projection terms. Compared with conventional projection neural networks and numerical optimization methods, the proposed cooperative projection neural network has a small model size and no limit condition of initial points. Numerical results demonstrate that the proposed cooperative projection neural network has a faster speed than the existing projection neural networks. Therefore, the proposed cooperative projection neural network can fast solve linear reconstruction problems. © Springer International Publishing AG 2017.
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN: 0302-9743
Year: 2017
Volume: 10261 LNCS
Page: 511-520
Language: English
0 . 4 0 2
JCR@2005
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ESI Highly Cited Papers on the List: 0 Unfold All
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30 Days PV: 3
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