Cathy-t / basic_AI_algorithmLinks
Include Supervised learning:Logistic Regression、Multilayer perceptron and Deep Convolutional Network .And Unsupervised learning:Auto Encoders、Denoising Autoencoders、Stacked Denoising Auto-Encoders、Restricted Boltzmann Machines、Deep Belief Networks.
☆13Updated 3 years ago
Alternatives and similar repositories for basic_AI_algorithm
Users that are interested in basic_AI_algorithm are comparing it to the libraries listed below
Sorting:
- 深度残差收缩网络处理一维时域信号☆37Updated last year
- Subband averaging kurtogram (SAK), incorporating with dual-tree complex wavelet packet transform (DTCWPT), to improve performance of the …☆11Updated 4 years ago
- Using Bayesian optimization to optimaze the network of CNN,which is used in fault diagnosis☆15Updated 3 years ago
- The code of Joint Learning CNN for Vibration Signal Denoising and Bearing Fault Diagnosis under Unknown Noise Condition.☆22Updated 4 years ago
- In our project we are proposing a real time de-noising algorithm for audio signals based on the Wavelet Transform. White noise is omnipre…☆17Updated 4 years ago
- Source codes for paper "Enhanced sparse period-group lasso for bearing fault diagnosis"☆18Updated 5 years ago
- A python program to build ResNet-1D model and DRSN-1D model in keras environment.☆11Updated 2 years ago
- MATLAB codes for "Sparse Bayesian learning approach for compound bearing fault diagnosis"☆14Updated 2 years ago
- 在matlab App Designer中设计了一款航空发动机气路故障智能诊断软件，通过训练航空发动机气路数据，分别实现航空发动机故障判断、故障部件定位和故障模式识别。☆12Updated 3 years ago
- MATLAB codes for "Group-sparsity learning approach for bearing fault diagnosis"☆15Updated 3 years ago
- VMD-SWTTV是一种针对一维信号的二级框架降噪算法，结合了变分模态分解VMD与平稳小波变换SWT，并采用了小波变换全变分法优化了SWT。降噪效果还是不错的。☆41Updated 2 years ago
- 一些在振动信号重构中应用的稀疏重构算法☆41Updated 5 years ago
- 使用ISTANet网络重构压缩感知采样的1维光谱信号☆12Updated last year
- using WGAN to generate fault bearing vibration signals☆50Updated 7 years ago
- We propose a novel deep learning framework DRSNet (deep residual shrinkage network) with an embedded soft-threshold denoising scheme for …☆14Updated 2 years ago
- Source codes for the paper "Fast Sparsity-Assisted Signal Decomposition with Non-Convex Enhancement for Bearing Fault Diagnosis"☆43Updated 3 years ago
- Deep Residual Shrinkage Networks for Intelligent Fault Diagnosis（pytorch） 深度残差收缩网络应用于故障诊断☆229Updated 2 years ago
- This is the Matlab code of the blind deconvolution based on the ratio of cyclic content (BD-RCC). BD-RCC can be used to recover repetitiv…☆24Updated 3 years ago
- 经验模态分解☆14Updated 8 years ago
- MATLAB codes for "Bearing fault diagnosis with frequency sparsity learning"☆30Updated 2 years ago
- MATLAB Code for abnormal detection using Support Vector Data Description (SVDD).☆79Updated 3 years ago
- The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.☆16Updated 5 years ago
- The code for paper "Adversarial Algorithm Unrolling Network for Interpretable Mechanical Anomaly Detection"☆20Updated 2 years ago
- ☆105Updated 2 years ago
- 一维卷积神经网络☆41Updated 5 years ago
- Study Notes☆22Updated 4 years ago
- Denoising method for C-MAPSS based on a denoising GAN. Includes other six denoising methods such as DAE, SG filter, etc.☆11Updated 2 years ago
- Source codes for paper "A weighted multi-scale dictionary learning model and its applications on bearing fault diagnosis"☆42Updated 5 years ago
- TensorFlow implementation of a CNN based mechanical science paper☆46Updated 7 years ago
- The features of nonlinearity and non-stationarity in real systems are often difficult to be extracted. This paper focuses on developing a…☆23Updated last year