机译:一种经济高效的制造工艺识别方法,基于CPS的Shop-Blue的深度转移学习
Key Laboratory of Industrial Engineering and Intelligent Manufacturing Ministry of Industry and Information Technology School of Mechanical Engineering Northwestern Polytechnical University Xi'an 710072 China School of Mechanical and Aerospace Engineering Nanyang Technological University Singapore 639798 Singapore;
Key Laboratory of Industrial Engineering and Intelligent Manufacturing Ministry of Industry and Information Technology School of Mechanical Engineering Northwestern Polytechnical University Xi'an 710072 China;
Key Laboratory of Road Construction Technology and Equipment Ministry of Education School of Construction Machinery Chang'an University Xi'an 710064 Shaanxi China;
Key Laboratory of Industrial Engineering and Intelligent Manufacturing Ministry of Industry and Information Technology School of Mechanical Engineering Northwestern Polytechnical University Xi'an 710072 China;
School of Mechanical and Aerospace Engineering Nanyang Technological University Singapore 639798 Singapore;
Key Laboratory of Industrial Engineering and Intelligent Manufacturing Ministry of Industry and Information Technology School of Mechanical Engineering Northwestern Polytechnical University Xi'an 710072 China;
Manufacturing process recognition; Transfer learning (TL); Cyber-physical systems (CPS); Convolutional neural network (CNN); Deep learning (DL);
机译:基于两阶段的转移学习的深度学习方法,用于生产进展预测的IOT制造业
机译:离散制造业车间CPS的成熟度评估:基于模糊等级法的AHP法
机译:一种深度转移学习方法,可减少基于EMG模式识别的控制中电极移位的影响
机译:轻量级CNN架构与转移学习的深度学习方法:孟加拉国钞票检测与识别的自动方法
机译:基于深度学习的语音分离,本地化和识别的阵列处理
机译:基于机器学习和深度学习分类的集合的平行方法的身体活动识别
机译:基于网络系统的制造业的深度学习智能流程规划