Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9506269 | Applied Mathematics and Computation | 2005 | 10 Pages |
Abstract
The model considered herein is intrinsically a neural network for solving linear optimization problems with hybrid constraints. But its state is allowed to lie in a general closed convex set spanned by the prototype patterns. The performance of the proposed network is demonstrated by means of simulation of one numerical example.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Qing Tao, Xin Liu, Xunxue Cui,