State Key Lab of Power System, Department of Electrical Engineering, Tsinghua University, Beijing, China;
State Key Lab of Power System, Department of Electrical Engineering, Tsinghua University, Beijing, China;
State Key Lab of Power System, Department of Electrical Engineering, Tsinghua University, Beijing, China;
State Key Lab of Power System, Department of Electrical Engineering, Tsinghua University, Beijing, China;
Shaanxi Electric Power Research Institute, No.669, HangTianZhong Road, Xi'an, China;
Shaanxi Electric Power Research Institute, No.669, HangTianZhong Road, Xi'an, China;
Biological neural networks; Power transmission lines; Training; Neurons; Magnetic fields; Unmanned aerial vehicles; Conductors;
机译:使用机器学习算法的具有步态位置的自动活动识别
机译:通过混合特征学习的桥梁裂纹识别和宽度量化的基于UV基机视觉方法
机译:基于依赖学习和线性劣化影响的并联机器调度问题的遗传算法方法:遗传算法与并联机器调度问题的遗传算法
机译:使用机器学习算法与UAV巡逻传输线的新型线路位置识别方法
机译:基于无人机的农业特征识别系统:一种用于精确农业的机器学习方法
机译:一种基于机器学习算法的光学遥感图像中物体识别效果的图像质量评估方法
机译:利用人工神经网络深机械学习方法进行仿生假体在仿生学信号识别算法中的设计算法