Matlab implementation of Extreme Learning Machine and variants
☆35May 11, 2018Updated 7 years ago
Alternatives and similar repositories for ELMToolbox
Users that are interested in ELMToolbox are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Robust regularized Extreme Learning Machine (ELM) for regression using Iteratively Reweighted Least Squares (IRLS).☆36May 2, 2017Updated 8 years ago
- Matlab code for "Multiple kernel extreme learning machine"☆15Sep 18, 2019Updated 6 years ago
- CNN - ELM model for mri brain decoding☆11Apr 2, 2018Updated 7 years ago
- constrained extreme learning machine, IJCNN 2014☆16Oct 17, 2018Updated 7 years ago
- Convolutional Auto-encoder Extreme learning machine☆15Oct 28, 2015Updated 10 years ago
- Bees CNN Algorithm (A Fuzzy Evolutionary Deep Learning)☆10Dec 20, 2024Updated last year
- predicting linear regression with prediction intervals☆15Jul 9, 2016Updated 9 years ago
- This Matlab package solves the sparsity-constrained optimization problems including compressive sensing, logistic regression, linear com…☆10Dec 19, 2024Updated last year
- PSO , Simulated Annealing PSO , Chaotic SAPSO, Neural network, Nonlinear Function☆12Apr 6, 2022Updated 3 years ago
- DualAQD: Dual Accuracy-quality-driven Prediction Intervals. IEEE TNNLS 2023.☆11Sep 25, 2025Updated 5 months ago
- ☆15Jul 25, 2020Updated 5 years ago
- 分层规划的旅行商问题解决方案，采用分层规划的思想，层层聚类，直至最底层单个城市群数量满足一定阈值，然后利用整数规划求最底层城市群的精确解，单层之间的城市群路径规划同样采用整数规划求精确解☆16Jan 19, 2023Updated 3 years ago
- An Implementation of Local Receptive Fields Based Extreme Learning Machine (with a demo)☆12Dec 19, 2017Updated 8 years ago
- Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.☆94Jun 1, 2021Updated 4 years ago
- Forward-Backward Splitting (FBS) Algorithms for Non-convex Total Variation Denoising☆11Aug 29, 2018Updated 7 years ago
- A tutorial for Time-Frequency estimation using Empirical Mode Decomposition and Hilbert-Huang Transform☆24May 2, 2019Updated 6 years ago
- A tensorflow implementation of OS-ELM (Online Sequential Extreme Learning Machine)☆58Jun 17, 2019Updated 6 years ago
- An optimization algorithm inspired from bubble-net foraging of humpback whales.☆17Sep 5, 2020Updated 5 years ago
- Matlab implementation of the EM and MCMC algorithm for SVMs as introduced in the paper "Data augmentation for support vector machines"☆18Dec 2, 2014Updated 11 years ago
- Quaternion-based extended Kalman filter for 9DoF IMU☆12Apr 22, 2020Updated 5 years ago
- A new Nature-inspired optimization algorithm: Aptenodytes Forsteri Optimization algorithm (AFO)☆20Mar 29, 2022Updated 3 years ago
- Project for identify human sleep stage using the combination of ELM and PSO compared to the combination of SVM and PSO☆24Sep 17, 2019Updated 6 years ago
- ☆19Jun 13, 2016Updated 9 years ago
- A trading bot that utilizes a Long Short Term Memory (LSTM) Neural Network and other analysis methods☆29Jul 12, 2016Updated 9 years ago
- Reproduction of code described in the paper "Stock Market Prediction Based on Generative Adversarial Network" by Kang Zhang et al.☆28Jun 12, 2020Updated 5 years ago
- Sample selection using Kennard-Stone algorighm☆11Jul 15, 2019Updated 6 years ago
- Al-Tashi, Q. et al(2019). Binary optimization using hybrid grey wolf optimization for feature selection. IEEE Access, 7, 39496-39508. Lin…☆20Dec 26, 2020Updated 5 years ago
- A probabilistic forecasting method based on Quantile Regression Minimal Gated Memory Network and Kernel Density Estimation.☆21Aug 20, 2019Updated 6 years ago
- Custom Implementation of Non-Deep Networks☆26Nov 16, 2021Updated 4 years ago
- High performance implementation of Extreme Learning Machines (fast randomized neural networks).☆204Feb 13, 2025Updated last year
- RNIR - Tutorials on NIR data processing and modelling with R☆10Sep 24, 2023Updated 2 years ago
- MATLAB☆34Oct 21, 2017Updated 8 years ago
- Pytorch implementation of Extreme Learning Machine☆22Aug 23, 2020Updated 5 years ago
- Improve Deep Learning based CNN & Extreme Learning Machine With Particle Swarm Optimization (Deep PSO) For Classification☆20Dec 18, 2023Updated 2 years ago
- LSTM model for advanced prediction of variations in climate data☆24Oct 28, 2022Updated 3 years ago
- A Multi-Output Regression Framework in Python☆32Dec 22, 2020Updated 5 years ago
- A new metaheuristic for global optimization problems proposed in the IEEE Congress on Evolutionary Computation (CEC), 2018☆29Nov 18, 2025Updated 4 months ago
- Whale Optimization Algorithm used to train Neural Network☆19Nov 28, 2016Updated 9 years ago
- Description and usage tutorial for the AWS Public Dataset produced by AfSIS (arns3:::afsis)☆15Feb 16, 2021Updated 5 years ago