| Abstract: | In this paper, the performance of GLVQ-F algorithm of
GLVQ network is theoretically analyzed. The GLVQF algorithm, to some extent, has overcome
the shortcomings that GLVQ algorithm possesses. But, there are some problems in GLVQF
algorithm, for example, the algorithm has good performance on the winning prototype, and
on other prototypes, its performance is very unstable. In this paper, the reasons of the
problem are discussed. The rules of choosing the learning rates are proposed, and two
modified algorithms are developed therefrom. Finally, the performance of the modified
algorithms is verified with IRIS data, which shows the modified algorithms are more stable
and effective than GLVQF algorithm. |
