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Simulation of Elman Neural network Extension Strategy Generator to Pattern Deformation Error in Flexibility Material Treating Field

机译:柔性材料处理领域中模式变形误差的Elman神经网络扩展策略生成器的仿真

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After analyzing flexibility material processing (such as quilting processing) influencing factor of pattern deformation, the edges of the original image and the deformation image are extracted. Then they are changed into coordinate. On top of it, the data are put into the Elman neural networks to train which has been built and the original image is used to as the teacher signal to tutoring. At last, the matter extenics model is built qua the database's data of the extension decision strategy generator by analysis the simulation result.
机译:在分析了挠性材料处理(例如processing缝处理)对图案变形的影响因素之后,提取了原始图像和变形图像的边缘。然后将它们更改为坐标。最重要的是,数据被输入到Elman神经网络中以进行训练,然后将原始图像用作老师进行补习的信号。最后,通过对仿真结果的分析,由扩展决策策略生成器的数据库数据建立了物质可拓模型。

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