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CLASSIFICATION SUPPORT MAP PREPARATION METHOD, PROGRAM FOR EXECUTING THE METHOD, AND CLASSIFICATION SUPPORT MAP PREPARATION DEVICE

机译:分类支持图准备方法,用于执行该方法的程序以及分类支持图准备设备

摘要

PPROBLEM TO BE SOLVED: To provide a classification support map preparation method capable of preparing a classification support map useful for the classification of unknown data for correctly classifying unknown data regardless of the learning sequence of learning data. PSOLUTION: This classification support map preparation method as a self-organization map preparation method for preparing a self-organization map 3 for supporting the classification of unknown data constituted of vector data comprises a step for preparing an non-learning map 4 including a plurality of non-learning cells 4a which are respectively provided with non-learning vector data, a step for preparing a pseudo map 5 including a plurality of pseudo cells 5a having learning integral values corresponding to the plurality of non-learning cells 4a, a step for making the pseudo map 5 learn the learning data constituted of the vector data and a step for reflecting the learning integral values owned by the pseudo cells 5a of the pseudo map 5 which has learned on the vector data owned by the non-learning cells 4a of the non-learning map 4. PCOPYRIGHT: (C)2006,JPO&NCIPI
机译:<要解决的问题:提供一种分类支持图准备方法,该方法能够准备用于对未知数据进行分类的有用的分类支持图,以正确地对未知数据进行分类,而与学习数据的学习顺序无关。解决方案:该分类支持图准备方法作为用于准备用于支持由矢量数据构成的未知数据的分类的自组织图3的自组织图准备方法,包括准备包括以下内容的非学习图4的步骤:在分别具有非学习向量数据的多个非学习单元4a中,准备包括具有与多个非学习单元4a对应的学习积分值的多个伪单元5a的伪映射图5的步骤。使伪映射图5学习由矢量数据构成的学习数据的步骤和反映在非学习单元拥有的矢量数据上学习的伪映射图5的伪单元5a所拥有的学习积分值的步骤非学习地图4a。4。

版权:(C)2006,JPO&NCIPI

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