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A neural network model for quadratic programming with simple upper and lower bounds and its application to linear programming

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (1994) 834 LNCS 119-127
DOI: 10.1007/3-540-58325-4_173
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Abstract

In this paper we put forward a neural network model for quadratic programming problems with simple upper and lower bounds and analyze the properties of solutions obtained by the model. It is shown that linear programming problems can be transferred into such quadratic programming problems and be solved by the model.

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Zhang, X. S., & Zhu, H. C. (1994). A neural network model for quadratic programming with simple upper and lower bounds and its application to linear programming. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 834 LNCS, pp. 119–127). Springer Verlag. https://doi.org/10.1007/3-540-58325-4_173

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