Introduction to Grey system theory
The Journal of Grey System
Two soft relatives of learning vector quantization
Neural Networks
Self-organizing maps
On the Performance of the HONG Network for Pattern Classification
IJCNN '00 Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 2 - Volume 2
Robust growing neural gas algorithm with application in cluster analysis
Neural Networks - 2004 Special issue: New developments in self-organizing systems
Letter: GreyART network for data clustering
Neurocomputing
A self-organizing CMAC network with gray credit assignment
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Generalized clustering networks and Kohonen's self-organizing scheme
IEEE Transactions on Neural Networks
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A hybrid GrayART network consisting of an unsupervised clustering stage and a supervised adjusting stage is proposed in this paper. In this hybrid learning scheme, the unsupervised clustering stage estimates cluster centers of a given dataset, and the supervised adjusting stage follows to tune the cluster centers for improving the training result. With a proper vigilance threshold value, the overall learning process needs only two epochs, one for each stage. The hybrid network is applied to solve the Iris dataset for illustration. Simulation results demonstrate the classification ability and effectiveness of the proposed network.