一维CNN - 简书
https://www.jianshu.com/p/766950a727a8A 1D CNN is very effective when you expect to derive interesting features from shorter (fixed-length) segments of the overall data set and where the location of the feature within the segment is not of high relevance. 适用数据: 传感器时序数据 1D-CNN 与 2D-CNN 的区别 输入数据的维度不同 卷积遍历数据的方式不同 1d-cnn-vs-2d-cnn.png 应用:行为识别 加速计数据:x, y, z 三轴 数 …
1D convolutional neural networks and applications: A survey ...
www.sciencedirect.com › science › articleApr 01, 2021 · in a relatively short time, 1d cnns have become popular with a state-of-the-art performance in various signal processing applications such as early arrhythmia detection in electrocardiogram (ecg) beats [45], [46], [47], structural health monitoring and structural damage detection [48], [49], [50], [51], [52], high power engine fault monitoring …
1D CNN Explained - Papers With Code
paperswithcode.com › method › 1d-cnnOct 23, 2017 · 1D Convolutional Neural Networks are similar to well known and more established 2D Convolutional Neural Networks. 1D Convolutional Neural Networks are used mainly used on text and 1D signals. Source: Convolutional Neural Network and Rule-Based Algorithms for Classifying 12-lead ECGs Read Paper See Code Papers Previous 1 2 3 Next