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《Journal of Computer Applications》 2007-05
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Research of the improved robust twinned SOM based on Voronoi distance

XIA Wen-wen,WANG Shi-tong(School of Information Engineering,Southern Yangtze University,Wuxi Jiangsu 214122,China)  
An improved twinned Self-Organizing Maps(SOM) based on Voronoi distance was presented in this paper.The traditional SOM is extended by using two related neuron networks simultaneously in order to enhance the robustness.Euclidean distance was replaced by the distance to the Vorinoi cell in the proposed SOM.We illustrated the prediction power of the proposed SOM on a real financial time series and artificial data sets.Results demonstrate the effectiveness and robustness of the proposed SOM.
【Fund】: 国防应用基础研究基金资助项目(A1420061266);; 教育部05年度科学研究重点基金资助项目(105087)
【CateGory Index】: TP18
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