zheng-yuwei / Stacked_Autoencoder
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
☆41Updated 8 years ago
Related projects ⓘ
Alternatives and complementary repositories for Stacked_Autoencoder
- 利用深度学习自编码器进行故障诊断的程序☆11Updated 6 years ago
- Source codes for paper "Enhanced sparse period-group lasso for bearing fault diagnosis"☆19Updated 4 years ago
- Ensemble Learning Toolbox☆16Updated 4 years ago
- Feature Selection and Extraction☆19Updated 9 years ago
- Online Semi-supervised Learning + Online Heterogeneous Transfer Learning☆28Updated 9 years ago
- Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approa…☆71Updated 3 years ago
- LSTM by matlab☆49Updated 7 years ago
- MATLAB code for Relevance Vector Machine using SB2_Release_200.☆54Updated 2 years ago
- MATLAB Code for abnormal detection using Support Vector Data Description (SVDD).☆78Updated 2 years ago
- this is a matlab toolbox of deep learning about sequences learning, object-oriented,including rnn, lstm and encoder decoder(sequences to…☆79Updated 7 years ago
- Feature fusion using Discriminant Correlation Analysis (DCA)☆62Updated 4 years ago
- Use SAE to classify the fault of gearbox☆19Updated 6 years ago
- A MATLAB toolbox for classifier: Version 1.0.7☆85Updated last year
- Source codes for paper "Hierarchical hyper-Laplacian prior for weak fault feature enhancement"☆9Updated 4 years ago
- Bearing fault diagnosis is important in condition monitoring of any rotating machine. Early fault detection in machinery can save million…☆91Updated 4 years ago
- Weighted LSSVM for regression☆38Updated 6 years ago
- Autoencoders - a deep neural network was used for feature extraction followed by clustering of the "Cancer" dataset using k-means techni…☆13Updated 6 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
- Several state-of-the-art fuzzy clustering algorithms, including Fuzzy c-means clustering, fuzzy subspace clustering and maximum entropy c…☆24Updated 4 years ago
- Study Notes☆22Updated 3 years ago
- 一些在振动信号重构中应用的稀疏重构算法☆37Updated 4 years ago
- 宽度学习 Broad Learning System MATLAB 代码 / 寬度學習Broad Learning System MATLAB代碼(1):MNIST實踐☆14Updated 5 years ago
- Deep Autoencoder with Extreme Learning Machines☆13Updated 3 years ago
- IJCNN 2015 Hierarchical extreme learning machine for unsupervised representation learning☆26Updated 5 years ago
- TE data diagnosis using pytorch☆21Updated 5 years ago
- try out bearing fault diagnosis with semi-supervised vae☆37Updated 7 years ago
- It contains some of the novel feature selection algorithms I've developed☆13Updated 3 years ago