jlsuarezdiaz / KELMOR
A Python Implementation of Kernel Extreme Learning Machine for Ordinal Regression
☆25Updated 4 years ago
Alternatives and similar repositories for KELMOR:
Users that are interested in KELMOR are comparing it to the libraries listed below
- A probabilistic forecasting method based on Quantile Regression Minimal Gated Memory Network and Kernel Density Estimation.☆21Updated 5 years ago
- A Python implementation of Online Sequential Extreme Machine Learning (OS-ELM) for online machine learning☆40Updated 6 months ago
- Transfer Knowledge Learned from Multiple Domains for Time-series Data Prediction☆11Updated 6 years ago
- ARIMA, DBN,FFNN,GBRT,LSTM,RFR,SEQ2SEQ,SVR,XGBOOST☆22Updated 5 years ago
- Weighted LSSVM for regression☆38Updated 6 years ago
- PSO-Based-SVR to forecast potential delay time of bus arrival. Applied on City of Edmonton real data.☆42Updated 8 years ago
- EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction☆38Updated 5 years ago
- GA，PSO，LSTM...☆23Updated 6 years ago
- A simple program to implement the Symplectic geometry mode decomposition (SGMD), including python and matlab versions.☆24Updated last year
- Code Implement of A Data-driven Self-supervised LSTM-DeepFM Model for Industrial Soft Sensor☆27Updated 2 years ago
- Confidence and prediction intervals for feedforward NNs and RNNs☆27Updated 6 years ago
- ☆15Updated 4 years ago
- Signal prediction by using LSSVM with PSO and PSR☆24Updated 6 years ago
- Adaptive Soft Sensors☆17Updated 5 years ago
- graduation design DBN + SVM☆36Updated 6 years ago
- Satellite parameter Interval Prediction☆10Updated 7 years ago
- Bayesian LSTM for time-series prediction.☆21Updated 4 years ago
- XGB、LSTM、KNNR、SVR预测☆12Updated last month
- A probabilistic forecasting method based on Quantile Regression Minimal Gated Memory Network and Kernel Density Estimation.☆4Updated 5 years ago
- Ordinal-patterns-based analysis toolbox (permutation entropy, robust permutation entropy, conditional entropy of ordinal patterns, ordina…☆17Updated 6 years ago
- EMD-VMD-TCN short-term load forecasting☆13Updated last year
- ☆32Updated 5 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
- 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
- ☆10Updated 6 years ago
- ☆18Updated 5 years ago
- Regression with SVR, CNN and CNN-LSTM☆13Updated 4 years ago
- Emotion Recognition using PSO and SVM☆15Updated 3 years ago
- A new probabilistic wind speed prediction method, called Shared Weight Long Short-Term Memory Network combined with Gaussian Process Regr…☆3Updated 5 years ago
- Hyperparameter Tuning in LSTM using Genetic Algorithm, Bayesian Optimization, Random Search, Grid Search.☆30Updated 3 years ago