基于深度学习算法的电子电工实验数据分析与教学实践

Analysis and Teaching Practice of Electronic and Electrical Experimental Data Based on Deep Learning Algorithms

阐述深度学习算法在电子电工实验数据分析中的应用,利用传感器采集实验数据,使用卷积神经网络和长短时记忆网络进行数据分析和预测,通过人机交互界面对实验结果进行可视化展示和评估。

This paper describes the application of deep learning algorithms in the analysis of electronic and electrical experimental data.Sensors are used to collect experimental data,and convolutional neural networks and long short-term memory networks are used for data analysis and prediction.The experimental results are visualized and evaluated through a human-computer interaction interface.