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The application of neural networks in group technology

机译:神经网络在群体技术中的应用

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This paper presents a classification method based on the Kohonen network and its modifications. Theresearch results are presented in this study. The value range was chosen to optimise the netparameters and the quality classification of machine element input patterns. Parallel, 2-layers netwhich allows joining of both geometrical technological features was used in the application. Inputpatters were written in the form a raster grid, in which every raster has a defined number code.Results shows that nets analysed could be utilised in the area of classification of machine elements.
机译:本文提出了一种基于Kohonen网络的分类方法及其改进。这项研究提出了研究结果。选择该值范围以优化净参数和机器元件输入模式的质量分类。该应用程序使用了允许将两个几何技术特征结合在一起的并行2层网。输入模式以栅格网格的形式编写,每个栅格都有一个定义的数字代码。结果表明,所分析的网络可用于机械元件的分类领域。

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