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A dual neural network solving quadratic programming problems

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2 Author(s)
Jun Wang ; Dept. of Mech. & Autom. Eng., Chinese Univ. of Hong Kong, Shatin, Hong Kong ; Youshen Xia

We propose a dual neural network with globally exponential stability for solving quadratic programming problems with unique solutions. Compared with the Bouzerdoum-Pattison network (1993), there is no need for choosing the self-feedback or lateral connection matrices in the present network. Moreover, the size of the dual network is less than that of the original problem

Published in:

Neural Networks, 1999. IJCNN '99. International Joint Conference on  (Volume:1 )

Date of Conference:

1999

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