柔性材料处理场中图案变形误差的Elman神经网络扩展策略仿真

Zhijun Zhang, Luxin Tang, Huan Yao, Hui Liu
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引用次数: 2

摘要

在分析柔性材料加工(如绗缝加工)对图案变形的影响因素后,提取了原始图像和变形图像的边缘。然后将它们转换成坐标。在此基础上,将采集到的数据输入到构建好的Elman神经网络中进行训练,并将原始图像作为教师信号进行辅导。最后,通过对仿真结果的分析,利用可拓决策策略生成器的数据库数据,建立了可拓模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulation of Elman Neural network Extension Strategy Generator to Pattern Deformation Error in Flexibility Material Treating Field
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.
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