首页> 外国专利> - Frequency Based Hybrid Deep-learning Method Apparatus and Computer-readable Medium and Driving Control of Cable Driven Parallel Robot Using Frequency Based Hybrid Deep-learning Method

- Frequency Based Hybrid Deep-learning Method Apparatus and Computer-readable Medium and Driving Control of Cable Driven Parallel Robot Using Frequency Based Hybrid Deep-learning Method

机译:-基于频率的混合深度学习方法设备和计算机可读介质,以及基于频率的混合深度学习方法的电缆驱动并联机器人的驱动控制

摘要

The present invention relates to a frequency based hybrid deep learning method, apparatus and computer readable medium, and a cable parallel robot driving control method using the same, and more particularly, to a frequency based hybrid deep learning method, apparatus and computer readable medium for dividing input time series information according to a predetermined reference frequency to use different algorithms for training an artificial neural network, and a cable parallel robot driving control method using the same. The frequency based hybrid deep learning method comprises: an information input step; an input information division step; a low frequency prediction step; a high frequency prediction step; and an output information combination step.
机译:基于频率的混合深度学习方法,装置和计算机可读介质,以及基于该方法的电缆并行机器人驱动控制方法技术领域本发明涉及基于频率的混合深度学习方法,装置和计算机可读介质,以及使用该方法的电缆并行机器人驱动控制方法。根据预定参考频率划分输入时间序列信息以使用不同的算法来训练人工神经网络,以及使用该算法的电缆并联机器人驱动控制方法。基于频率的混合深度学习方法包括:信息输入步骤;输入信息划分步骤;低频预测步骤;高频预测步骤;以及输出信息组合步骤。

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号