[1]张海静,姚博彬*,武奇生.基于差分数据图和深度学习的短时交通流预测[J].工业仪表与自动化装置,2020,(02):3.
ZHANG Haijing,YAO Bobin,WU Qisheng.Short-term traffic flow prediction based on the differential data graph and deep learning[J].Industrial Instrumentation & Automation,2020,(04):3.
[2]张晓华,马 煜,杨晨辉,等.基于卷积神经网络的设备安装位置智能识别方法[J].工业仪表与自动化装置,2021,(01):13.[doi:10.3969/j.issn.1000-0682.2021.01.003]
ZHANG Xiaohua,MA yu,YANG Chenhui,et al.Intelligent identification method of equipment installation position based on convolution neural network[J].Industrial Instrumentation & Automation,2021,(04):13.[doi:10.3969/j.issn.1000-0682.2021.01.003]
[3]甘 李,姚 智,李 闯,等.基于卷积神经网络的汽轮机抗燃油泄漏智能预警技术研究[J].工业仪表与自动化装置,2022,(04):8.[doi:10.19950/j.cnki.cn61-1121/th.2022.04.002]
GAN Li,YAO Zhi,LI Chuang,et al.Research on intelligent early warning technology of steam turbine anti fuel leakage based on convolutional neural network[J].Industrial Instrumentation & Automation,2022,(04):8.[doi:10.19950/j.cnki.cn61-1121/th.2022.04.002]
[4]李 娜,曹丽明.一种风力发电机轴承故障智能诊断方法[J].工业仪表与自动化装置,2022,(05):103.[doi:10.19950/j.cnki.cn61-1121/th.2022.05.019]
LI Na,CAO Liming.An intelligent diagnosis method for wind turbine bearing fault[J].Industrial Instrumentation & Automation,2022,(04):103.[doi:10.19950/j.cnki.cn61-1121/th.2022.05.019]
[5]王志波,王继柱.基于光纤光栅传感技术和卷积神经网络的铁路信号调节方法研究[J].工业仪表与自动化装置,2023,(01):91.[doi:10.19950/j.cnki.cn61-1121/th.2023.01.018]
WANG Zhibo,WANG Jizhu.Research on railway signal regulation based on fiber grating sensing technology and convolutional neural network[J].Industrial Instrumentation & Automation,2023,(04):91.[doi:10.19950/j.cnki.cn61-1121/th.2023.01.018]