GCaptainNemo / Dimension-Reduction-AlgorithmsLinks
常用降维算法的复现和比较，包括LDA, PCA, KPCA, MDS, Isomap, LLE。
☆22Updated 3 years ago
Alternatives and similar repositories for Dimension-Reduction-Algorithms
Users that are interested in Dimension-Reduction-Algorithms are comparing it to the libraries listed below
Sorting:
- Code for thesis "Graph Dynamic Autoencoder for Fault Detection"☆18Updated 4 years ago
- 本科毕业设计 - 基于数据解析的化工生产过程诊断☆15Updated 3 years ago
- ☆55Updated 8 years ago
- Unofficial implementation of paper “Multi-scale Attention Convolutional Neural Network for time series classification”[Neural Networks202…☆17Updated 3 years ago
- A new probabilistic wind speed prediction method, called Shared Weight Long Short-Term Memory Network combined with Gaussian Process Regr…☆11Updated 6 years ago
- Abdulhamid97Mousa / Bearing-Fault-Diagnosis-Method-Based-on-Spectrum-Map-Information-Fusion-and-CNNsReproduce Published Article "Bearing Fault Diagnosis Method Based on Spectrum Map Information Fusion and Convolutional Neural Network""☆24Updated 3 years ago
- An semi-supervised extension based on VAE for Regression, demonstrate its performance on two soft sensor benchmark problems.☆25Updated 2 years ago
- Code Implement of A Data-driven Self-supervised LSTM-DeepFM Model for Industrial Soft Sensor☆31Updated 3 years ago
- FWA-DBN-ELM fault diagnosis 故障诊断 烟花算法优化DBN-ELM的故障诊断☆33Updated 3 years ago
- Fault Diagnosis of Tennessee Eastman Chemical process using Neural Networks☆43Updated 7 years ago
- 论文“时变转速下基于改进图注意力网络的轴承半监督故障诊断”源码☆29Updated 3 years ago
- 利用最小二乘支持向量机进行分类器建模，改进鲸鱼算法（基于冯洛伊曼拓扑的鲸鱼算法）进行超参数寻优☆49Updated 6 years ago
- Using Bayesian optimization to optimaze the network of CNN,which is used in fault diagnosis☆16Updated 3 years ago
- X. Yuan, Z. Miao, Z. Liu, Z. Yan and F. Zhou, "Multi-Strategy Ensemble Whale Optimization Algorithm and Its Application to Analog Circuit…☆33Updated 3 years ago
- Multi-view Broad Learning Systerm☆10Updated 3 years ago
- Comparing a transormer GAN and a LSTM GAN for augmenting timeseries datasets☆14Updated 2 years ago
- Bearing fault diagnosis is important in condition monitoring of any rotating machine. Early fault detection in machinery can save million…☆104Updated 5 years ago
- Implementation of the Slow Feature Analysis algorithm for unsupervised learning☆12Updated 3 years ago
- Source codes for paper "A weighted multi-scale dictionary learning model and its applications on bearing fault diagnosis"☆44Updated 5 years ago
- 🧠 A model for early detection of multiple faults in induction motors based on the use of PCA and multilabel decision-trees☆34Updated 4 years ago
- Multi-scale Signed Recurrence Plot Based Time Series Classification Using Inception Architectural Networks☆10Updated 2 years ago
- TE data diagnosis using pytorch☆20Updated 6 years ago
- Data Driven Fault Diagnosis☆16Updated 7 years ago
- Github repo for the research paper titled "Integrating Adaptive Moving Window and Just-in-Time Learning Paradigms for Soft-Sensor Design"☆21Updated 6 years ago
- Graph and information theory based fault detection and diagnosis from historian time series data☆32Updated 3 months ago
- Sensor Fault Diagnosis with Physics Informed Transfer Learning☆13Updated 4 years ago
- My implementation of Symbolic Transfer Entropy (STE): a measure of asymmetric information flow between stochastic processes.☆10Updated 6 years ago
- 论文《基于机理模型的旋转机械领域自适应故障诊断》验证案例的代码和数据☆10Updated 5 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☆17Updated 6 years ago
- Semi-Supervised Density Peak Clustering Algorithm, Incremental Learning, Fault Detection（基于半监督密度聚类+增量学习的故障诊断）☆87Updated 3 years ago