aus10powell / Fuzzy-Dempster-Shafer
A fuzzy machine learning algorithm utilizing Dempster-Shafer and Bayesian Theory
☆24Updated last year
Alternatives and similar repositories for Fuzzy-Dempster-Shafer:
Users that are interested in Fuzzy-Dempster-Shafer are comparing it to the libraries listed below
- Implementation in Python for Dempster Shafer algorythm with application in predicting movies genres by reviews☆40Updated 3 years ago
- dempster_shafer theory is used to integrate the RSS data processed by multiple machine learning algorithms☆15Updated 7 years ago
- Matlab source code of the paper "Y. Cui, D. Wu* and J. Huang*, "Optimize TSK Fuzzy Systems for Classification Problems: Mini-Batch Gradie…☆14Updated 4 years ago
- ☆22Updated 5 months ago
- Taherkhani, A, Cosma, G, McGinnity, M (2020) AdaBoost-CNN: an adaptive boosting algorithm for convolutional neural networks to classify m…☆9Updated 4 years ago
- A deep transfer regression method based on seed replacement considering balanced domain adaptation☆16Updated 2 years ago
- Demo code release for TPTLN: Combining the theoretical bound and deep adversarial network for machinery open-set diagnosis transfer☆40Updated 2 years ago
- ☆21Updated 5 years ago
- AAAI 2023: Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks☆29Updated last year
- The code of Interpretable Convolutional Neural Network with Multilayer Wavelet for Noise-Robust Machinery Fault Diagnosis☆42Updated 2 years ago
- A pytorch implementation of TSK fuzzy sytems.☆16Updated 5 years ago
- Source code of the paper Multiscale Wavelet-Driven Graph Convolutional Network for Blade Icing Detection of Wind Turbines☆9Updated 2 years ago
- A tensorflow implementation of informative generative adversarial network (InfoGAN ) to one dimensional ( 1D ) time series data with a su…☆29Updated 6 years ago
- 1 提出了一种新的相似度损失(SimL),用于增大类间差异同时减小类内差异;2 SimL+CE优化CNN;3 基于电信号诊断轴承故障☆13Updated 10 months ago
- ☆21Updated 4 months ago
- Code and data for our paper on IEEE-TIE: Integrating Expert Knowledge with Domain Adaptation for Unsupervised Fault Diagnosis☆39Updated 2 years ago
- Open dataset in the field of mechanical fault diagnosis under variable speed conditions, providing benchmark for algorithm performance ev…☆26Updated last year
- A Bayesian Probabilistic Framework for Mechanical Fault Diagnosis☆11Updated last year
- Interpretable Fault Diagnosis of Rolling Element Bearings with Temporal Logic Neural Network☆13Updated 3 years ago
- The source code of the model: Multi-Scale Graph Convolutional Network with Contrastive-Learning enhanced Self-attention Pooling (MSGCN-CS…☆17Updated last year
- An Explainable Neural Network for Fault Diagnosis With a Frequency Activation Map☆13Updated 3 years ago
- ☆16Updated last year
- ACAN: A Plug-and-Play Adaptive Center-Aligned Network for Unsupervised Domain Adaptation☆17Updated 7 months ago
- Deep Clustering Analysis via Dual Variational Autoencoder with Spherical Latent Embeddings powered by@torch☆12Updated 3 years ago
- Researching causal relationships in time series data using Temporal Convolutional Networks (TCNs) combined with attention mechanisms. Thi…☆12Updated 10 months ago
- Multi-sensor data collection gathered to expand research on anomaly detection, fault diagnosis, and predictive maintenance, mainly using …☆31Updated last year
- ☆14Updated 3 years ago
- Fuzzy Deep Neural Network.☆56Updated 2 years ago
- ☆29Updated last year
- DMsrTTLN code☆17Updated 8 months ago