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Ordered fuzzy ARTMAP: a fuzzy ARTMAP algorithm with a fixed order of pattern presentation

机译:有序模糊艺术图:一种模糊艺术算法,具有模式呈现的固定阶数

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In this paper we introduce a procedure that identifies a fixed order of training pattern presentation for fuzzy ARTMAP. The resulting algorithm is named ordered fuzzy ARTMAP. Experimental results have demonstrated that ordered fuzzy ARTMAP achieves a network performance that is better than the average fuzzy ARTMAP network performance (averaged over a fixed number of random orders of pattern presentations), and occasionally better than the maximum fuzzy ARTMAP network performance (maximum over a fixed number of random orders of pattern presentations). What is also worth noting is that the computational complexity of the aforementioned procedure is only a small fraction of the computational complexity required to complete the training phase of fuzzy ARTMAP for a single order of pattern presentation.
机译:在本文中,我们介绍了一种识别模糊艺术图的训练模式呈现的固定顺序的过程。生成的算法命名为有序模糊艺术图。实验结果表明,订购的模糊艺术图达到了网络性能,优于平均模糊艺术网络性能(平均在固定数量的模式演示数量),偶尔比最大模糊艺术网络性能更好(最大值修正了模式演示的随机序列数量)。值得注意的是,上述过程的计算复杂性仅是完成模糊艺术图的训练阶段所需的计算复杂性的一小部分,以便单一的图案呈现。

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