Growing Neural Gas approach for obtaining homogeneous maps by restricting the insertion of new nodes

@article{QuintanaPacheco2014GrowingNG,
  title={Growing Neural Gas approach for obtaining homogeneous maps by restricting the insertion of new nodes},
  author={Yuri Quintana-Pacheco and Daniel Ruiz Fern{\'a}ndez and Agust{\'i}n Magrans-Rico},
  journal={Neural networks : the official journal of the International Neural Network Society},
  year={2014},
  volume={54},
  pages={95-102}
}
The Growing Neural Gas model is used widely in artificial neural networks. However, its application is limited in some contexts by the proliferation of nodes in dense areas of the input space. In this study, we introduce some modifications to address this problem by imposing three restrictions on the insertion of new nodes. Each restriction aims to maintain the homogeneous values of selected criteria. One criterion is related to the square error of classification and an alternative approach is… CONTINUE READING