Conference paper accepted: Matrix Bandwith Minimization: A Neural Approach
Neural networks
Combinatorial optimization
The work Matrix Bandwith Minimization: A Neural Approach has been published in International Congress of Computational Methods in Science and Engineering 2004.
Abstract:
The aim of this paper is to present a neural technique to tackle the bandwidth minimization problem. This neural model, successfully applied to other problems, presents better solutions than those of other classical approaches to this problem, as shown by the simulations performed.
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