galtan-PhD / Deep_Autoencoder_with_ELMLinks
Deep Autoencoder with Extreme Learning Machines
☆14Updated 3 years ago
Alternatives and similar repositories for Deep_Autoencoder_with_ELM
Users that are interested in Deep_Autoencoder_with_ELM are comparing it to the libraries listed below
Sorting:
- A simple program to implement the Symplectic geometry mode decomposition (SGMD), including python and matlab versions.☆24Updated 2 years ago
- This repository is a collection of codes generated for optimizing the echo state network for RUL prediction of airplane engines☆11Updated 3 years ago
- Dissolved Gas Analysis☆19Updated 3 years ago
- Using Bayesian optimization to optimaze the network of CNN,which is used in fault diagnosis☆15Updated 3 years ago
- Github repo for the research paper titled "Integrating Adaptive Moving Window and Just-in-Time Learning Paradigms for Soft-Sensor Design"☆20Updated 5 years ago
- Code Implement of A Data-driven Self-supervised LSTM-DeepFM Model for Industrial Soft Sensor☆28Updated 3 years ago
- ☆21Updated 2 months ago
- Improve Deep Learning based CNN & Extreme Learning Machine With Particle Swarm Optimization (Deep PSO) For Classification☆19Updated last year
- ☆50Updated 2 months 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☆15Updated 5 years ago
- Multi-view Broad Learning Systerm☆10Updated 3 years ago
- Fault prognosis using LSTM and CNN☆17Updated 3 years ago
- Code for the 2012 IEEE Transactions on Power Delivery paper on "Statistical Machine Learning and Dissolved Gas Analysis: A Review"☆12Updated 4 years ago
- Artificial neural networks model on matlab to predict wind speed. Data on wind speed, humidity, temperature and wind direction was obtain…☆9Updated 7 years ago
- Variable Time Reconstruction based modeling framework for soft sensor development☆13Updated 5 years ago
- ☆13Updated 3 years ago
- An integrated software package for Industrial process monitoring and fault detection☆14Updated 6 years ago
- A neural network model implemented in MATLAB to predict various faults in transformers using Dissolved Gas Analysis.☆17Updated 7 years ago
- Implementation of an online sequential extreme learning machine with kernels for nonstationary time series prediction.☆12Updated 4 years ago
- ☆18Updated 3 years ago
- Implementation from scratch of a CNN-LSTM network for language models. Useful features are extracted from the CNN layer below and then fe…☆24Updated 2 years ago
- VMD-SSO-LSTM☆19Updated last year
- BILSTM，GRU，LSTM☆16Updated last year
- A deep transfer regression method based on seed replacement considering balanced domain adaptation☆16Updated 2 years ago
- 结合DBN和ELM的改进DBN-ELM模型☆22Updated 7 years ago
- 使用遗传算法优化支持向量机/Optimization of support vector machine using genetic algorithm☆37Updated 3 years ago
- Ordinal-patterns-based analysis toolbox (permutation entropy, robust permutation entropy, conditional entropy of ordinal patterns, ordina…☆17Updated 6 years ago
- Using Particle Swarm Optimization (PSO) to Optimize a CNN (Convulsional Neural Network) - using an simple dataset (not using an image dat…☆41Updated 2 years ago
- Use Hilbert-Huang Transform(EMD), MFCC, semi-supervised Rough Fuzzy Laplacian Eigenmap(SS-RFLE) to extract features of signals. Use FCM,…☆48Updated 7 years ago
- TE data diagnosis using pytorch☆20Updated 6 years ago