神经网络理论中的可变度量

Research Papers Faculty of Materials Science and Technology Slovak University of Technology Pub Date : 2019-09-01 DOI:10.2478/rput-2019-0032

Renáta Masárová

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引用次数: 0

摘要

本文研究了一种改进的fr度量在自组织神经网络中的应用，称为Kohenen映射。所使用的方法使我们能够更加强调输入数据中的选定参数。它可以简化寻找最小距离dFj，因为dFj∈< 0,1 >

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Fréchet Metric in Neural Network Theory

Abstract This paper deals with application of a modified Fréchet metric to self-organizing neural networks, called Kohenen maps. The methodology used allows us to put more emphasis on the selected parameters in the input data. It can simplify finding the minimal distance dFj, since dFj∈ 〈0,1〉

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Research Papers Faculty of Materials Science and Technology Slovak University of Technology

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