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# Novel direct and self-regulating approaches to determine optimum growing multi-experts network structure

@article{Loo2004NovelDA, title={Novel direct and self-regulating approaches to determine optimum growing multi-experts network structure}, author={Chu Kiong Loo and Mandava Rajeswari and M. V. C. Rao}, journal={IEEE Transactions on Neural Networks}, year={2004}, volume={15}, pages={1378-1395} }

- Published 2004 in IEEE Transactions on Neural Networks
DOI:10.1109/TNN.2004.837779

This work presents two novel approaches to determine optimum growing multi-experts network (GMN) structure. The first method called direct method deals with expertise domain and levels in connection with local experts. The growing neural gas (GNG) algorithm is used to cluster the local experts. The concept of error distribution is used to apportion error among the local experts. After reaching the specified size of the network, redundant experts removal algorithm is invoked to prune the size of… CONTINUE READING