nastiag67 / ecgnLinks
Concepts used: kNN, SVM, boosting (XGBoost, Gradient boosting, Light GBM, AdaBoost, Random Forests), deep learning (CNN, LSTM), ensembles (model stacking), transfer learning.
☆13Updated 3 years ago
Alternatives and similar repositories for ecgn
Users that are interested in ecgn are comparing it to the libraries listed below
Sorting:
- PSO On neural Network and LSTM☆19Updated 4 years ago
 - data set and models for IEEE access paper "Remaining Useful Life Estimation Using Long Short-Term Memory Neural Networks and Deep Fusion"☆20Updated 5 years ago
 - A simple program to implement the Symplectic geometry mode decomposition (SGMD), including python and matlab versions.☆25Updated 2 years ago
 - variational mode decomposition and its variants☆65Updated 4 years ago
 - Using Bayesian optimization to optimaze the network of CNN,which is used in fault diagnosis☆15Updated 3 years ago
 - Air Quality Predictions with a Semi-Supervised Bidirectional LSTM Neural Network☆25Updated 4 years ago
 - This is the implementation of the paper Enhanced Photovoltaic Power Forecasting: An iTransformer and LSTM-Based Model Integrating Tempora…☆81Updated 4 months 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☆45Updated 5 years ago
 - Codes of paper "A Novel Framework Based on Adaptive Multi-Task Learning for Bearing Fault Diagnosis".☆23Updated 2 years ago
 - ☆28Updated 10 months ago
 - ☆16Updated 3 years ago
 - Using Particle Swarm Optimization (PSO) to Optimize a CNN (Convulsional Neural Network) - using an simple dataset (not using an image dat…☆42Updated 2 years ago
 - ☆25Updated 3 years ago
 - This projected explored the effect of introducing channel and spatial attention mechanisms, namely SEN-Net, ECA-Net, and CBAM to existin…☆11Updated 2 years ago
 - Multi-source information fusion deep self-attention reinforcement learning framework for multi-label compound fault recognition☆21Updated 2 years ago
 - ☆40Updated 2 years ago
 - FDS-MOMEDA: Optimization-Blind Deconvolution in Finite High-Dimensional Spaces for Extracting Pulse Signal in Rolling Bearing Fault Diagn…☆10Updated last year
 - 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""☆23Updated 2 years ago
 - Unofficial implementation of paper “Multi-scale Attention Convolutional Neural Network for time series classification”[Neural Networks202…☆17Updated 3 years ago
 - Sanitized Grey Wolf Optimizer(SGWO)-Support Vector Regressor (SVR)☆76Updated 3 years ago
 - The code of Joint Learning CNN for Vibration Signal Denoising and Bearing Fault Diagnosis under Unknown Noise Condition.☆25Updated 4 years ago
 - The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.☆16Updated 6 years ago
 - Subband averaging kurtogram (SAK), incorporating with dual-tree complex wavelet packet transform (DTCWPT), to improve performance of the …☆11Updated 4 years ago
 - 风力发电非常环保,且风能蕴量巨大,因此日益受到世界各国的重视。但是对于实际采集 到的测风数据及功率数据都存在各种各样的问题,需要有准确的实测数据来分析风电特征及发电规律 而且从风场收集到的数据中通常包含异常数据点,造成计算机进行数据筛选和排序的速度比较慢,因此 需要可靠有…☆29Updated 4 years ago
 - ☆31Updated 6 years ago
 - Multi-scale Signed Recurrence Plot Based Time Series Classification Using Inception Architectural Networks☆10Updated 2 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 WGAN to generate fault bearing vibration signals☆51Updated 7 years ago
 - 基于VMD-Attention-LSTM的时间序列预测模型(代码仅使用了一个较小数据集的训练及预测,内含使用使用逻辑,适合初学者观看,模型结构是可行的,有能力的请尝试使用更大的数据集训练)☆64Updated 2 years ago
 - This is our implemented source code for the paper "SC-MambaFew: Few-shot learning based on Mamba and selective spatial-channel attention …☆46Updated 3 months ago