Growing self-reconstruction maps
IEEE Transactions on Neural Networks
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The Growing Self Organizing Surface Map (GSOSM) is a novel map model that learns a 2D surface immersed in a 3D space. The GSOSM model introduces a novel connection learning rule called CCHL. In this paper we present an overview of GSOSM model and its connection learning rule CCHL. The GSOSM dynamic is analyzed and changes are proposed to improve the algorithm performance and time run. The results of the proposed improvements are depicted and discussed.