UltrasonicZ / CNN_LeNet-5_onedimension
about how to use CNN with one dimensional signal
☆29Updated 6 years ago
Alternatives and similar repositories for CNN_LeNet-5_onedimension:
Users that are interested in CNN_LeNet-5_onedimension are comparing it to the libraries listed below
- 一维卷积神经网络☆38Updated 5 years ago
- Use Hilbert-Huang Transform(EMD), MFCC, semi-supervised Rough Fuzzy Laplacian Eigenmap(SS-RFLE) to extract features of signals. Use FCM,…☆45Updated 6 years ago
- ☆9Updated 4 years ago
- 卷积神经网络提取特征并用于SVM//www.cnblogs.com/chuxiuhong/p/6132814.html☆15Updated 6 years ago
- LSTM by matlab☆53Updated 7 years ago
- Include Supervised learning:Logistic Regression、Multilayer perceptron and Deep Convolutional Network .And Unsupervised learning:Auto Enco…☆13Updated 2 years ago
- 用 MATLAB 实现深度学习网络中的 stacked auto-encoder：使用AE variant（de-noising / sparse / contractive AE）进行预训练，用BP算法进行微调☆42Updated 8 years ago
- 基于一维卷积神经网络（1D-CNN）的多元时间序列分类☆73Updated 4 years ago
- Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approa…☆72Updated 3 years ago
- Regression with SVR, CNN and CNN-LSTM☆13Updated 4 years ago
- ECG signal denoising using Ensemble Empirical Mode Decomposition and R peak detection (cardiac frequency) using Hilbert Transform.☆70Updated 5 years ago
- 支持向量机，Support Vector Machine(SVM)，多类分类☆30Updated 8 years ago
- ALOT dataset ,multi-class SVM,AdaBoost,K-SVD,LBP,HOG,Gabor☆24Updated 6 years ago
- The features of nonlinearity and non-stationarity in real systems are often difficult to be extracted. This paper focuses on developing a…☆22Updated last year
- using WGAN to generate fault bearing vibration signals☆50Updated 6 years ago
- 支持向量机(SVM)——分类预测，包括多分类问题，核函数调参，不平衡数据问题，特征降维，网格搜索，管道机制，学习曲线，混淆矩阵，AUC曲线等☆52Updated 7 years ago
- 经验模态分解☆14Updated 8 years ago
- CNN - ELM model for mri brain decoding☆11Updated 6 years ago
- graduation design DBN + SVM☆36Updated 6 years ago
- 局域均值分解的python实现☆13Updated 6 years ago
- MATLAB Code for abnormal detection using Support Vector Data Description (SVDD).☆79Updated 2 years ago
- 深度残差收缩网络处理一维时域信号☆37Updated last year
- A convolutional autoencoder for feature extraction, with an SVM for image classification.☆11Updated 6 years ago
- Weighted LSSVM for regression☆38Updated 6 years ago
- Matlab implementation of Extreme Learning Machine and variants☆31Updated 6 years ago
- AutoEncoder implements by keras. Including AE, DAE, DAE_CNN, VAE, VAE_CNN, CVAE, Sparse AE, Stacked DAE.☆41Updated 4 years ago
- CBAM(Convolutional Block Attention Module) implementation on TensowFlow2.0☆74Updated 4 years ago
- Examples of "From Fourier Transform to Wavelet Transform"☆66Updated 2 years ago
- for de-noising☆30Updated 7 years ago
- Implementation from scratch of a CNN-LSTM network for language models. Useful features are extracted from the CNN layer below and then fe…☆21Updated last year