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.
☆14Updated 3 months 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:
- 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
- 深度残差收缩网络处理一维时域信号☆36Updated 2 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…☆19Updated 4 years ago
- 一维卷积神经网络☆41Updated 6 years ago
- MATLAB code for dimensionality reduction, feature extraction, fault detection, and fault diagnosis using Kernel Principal Component Analy…☆259Updated 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☆236Updated 2 years ago
- 由于CSDN博客里面不能直接上代码链接，涉嫌营销推广，因此建一个github仓库用于整理这些代码链接☆153Updated 2 years ago
- MATLAB Code for abnormal detection using Support Vector Data Description (SVDD).☆81Updated 3 years ago
- The features of nonlinearity and non-stationarity in real systems are often difficult to be extracted. This paper focuses on developing a…☆24Updated last year
- Using Bayesian optimization to optimaze the network of CNN,which is used in fault diagnosis☆15Updated 3 years ago
- 轴承故障诊断实验 17级15组☆14Updated 5 years ago
- CNN for regression☆12Updated 6 years ago
- 使用vmd算法对含有噪声的图像信号进行分解，去除掉噪声信号，将剩余信号合成，得到去噪声图像。分别使用alo、ao、ga、gwo、mpa、spo、woa算法对vmd算法中的参数进行优化，实现快速、准确的完成图像信号的分解。☆98Updated 2 years ago
- MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN☆209Updated 2 years ago
- Subband averaging kurtogram (SAK), incorporating with dual-tree complex wavelet packet transform (DTCWPT), to improve performance of the …☆11Updated 4 years ago
- We propose a novel deep learning framework DRSNet (deep residual shrinkage network) with an embedded soft-threshold denoising scheme for …☆15Updated 2 years ago
- Regularized K-SVD Algorithm☆49Updated 8 years ago
- implementation of several GANs with pytorch☆163Updated 3 years ago
- 个人练习，自编码器及其变形（理论+实践）☆340Updated 6 years ago
- Encoding time series as images using GAF operation by pyts.☆227Updated 3 years ago
- using WGAN to generate fault bearing vibration signals☆51Updated 7 years ago
- Package for preprocessing CWRU Bearing dataset☆14Updated 8 months ago
- The deep residual shrinkage network is a variant of deep residual networks.☆489Updated 2 months ago
- Multi-source information fusion deep self-attention reinforcement learning framework for multi-label compound fault recognition☆21Updated 2 years ago
- The code of Joint Learning CNN for Vibration Signal Denoising and Bearing Fault Diagnosis under Unknown Noise Condition.☆25Updated 4 years ago
- ALOT dataset ,multi-class SVM,AdaBoost,K-SVD,LBP,HOG,Gabor☆24Updated 7 years ago
- Pytorch implementation of stacked denoising autoencoder☆26Updated 6 years ago
- 使用遗传算法优化支持向量机/Optimization of support vector machine using genetic algorithm☆38Updated 3 years ago
- This is a repository of code and experiment data for paper <A probability confidence CNN model and its application in mechanical fault di…☆10Updated 4 years ago
- A python program to build ResNet-1D model and DRSN-1D model in keras environment.☆11Updated 2 years ago