Based on fuzzy C-Means algorithm (FCM) and fuzzy Min-Max Neural Networks, an integrated algorithm for fuzzy pattern recognition using hypercube set was proposed.

结合模糊c均值算法(FCM)与模糊最小最大神经网络算法，提出一种基于超长方体集的模糊模式识别算法。

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After analyzing data and comparing automobile type of data ware, the max-data as criterion of vehicle classification, whole sample's data as character parameter of pattern matching.

通过分析采样数据和比较各车型波形后，采用实际采样波形的幅值作为车型分类判据标准，整条波形的采样值作为模式匹配的特征参数。

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Physicists Eric Goles of the University of Chile and Mario Markus of the Max Planck Institute in Germany sensed an evolutionary logic behind this pattern.

智利大学的物理学家埃里克·科尔斯和德国马克斯·普朗克学院的马里奥·马库斯感到这种数字模型背后存在着某种进化逻辑。

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