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An Improved Self-Organizing Feature Maps Algorithm and its Application in Arts Course Teaching Evaluation

机译:改进的自组织特征图算法及其在美术课程教学评价中的应用

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Self-organizing feature map algorithm is one of the most important types of unsupervised learning method based on neural network technology but it tends to get stuck in local minima and yield the topological defect problem which limits its practical usage
机译:自组织特征图算法是基于神经网络技术的最重要的无监督学习方法之一,但它往往陷入局部极小值,并产生拓扑缺陷问题,限制了其实际应用。

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