drwuHUST / MBGD_RDA
Matlab source code of the paper "D. Wu, Y. Yuan, J. Huang and Y. Tan*, Optimize TSK Fuzzy Systems for Regression Problems: Mini-Batch Gradient Descent with Regularization, DropRule and AdaBound (MBGD-RDA), IEEE Trans. on Fuzzy Systems, 28(5), pp. 1003-1015, 2020."
☆13Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for MBGD_RDA
- Matlab source code of the paper "Y. Cui, D. Wu* and J. Huang*, "Optimize TSK Fuzzy Systems for Classification Problems: Mini-Batch Gradie…☆14Updated 3 years ago
- A pytorch implementation of TSK fuzzy sytems.☆15Updated 5 years ago
- Simple, fast and ease of implementation. The filter feature selection methods include Relief-F, PCC, TV, and NCA.☆20Updated 3 years ago
- Scikit-learn compatible Kernel Entropy Component Analysis in Python☆13Updated 8 years ago
- Ensemble Learning Toolbox☆16Updated 4 years ago
- Multi-view Broad Learning Systerm☆10Updated 2 years ago
- Matlab source code of the paper "D. Wu and X. Tan, Multitasking Genetic Algorithm (MTGA) for Fuzzy System Optimization, IEEE Trans. on Fu…☆26Updated 4 years ago
- Takagi-Sugeno-Kang Fuzzy System☆15Updated 4 years ago
- This branch presents an evolving model based on a novel evolving intelligent system, namely evolving Type-2 Quantum Fuzzy Neural Network…☆16Updated 4 years ago
- Intrusion Detection is a technique to identify the abnormal behavior of system due to attack. The unusual behavior of the environment is …☆26Updated 7 years ago
- Wrapper Based feature selection using Particle Swarm Optimization☆12Updated 5 years ago
- The Code of Time series prediction using sparse autoencoder and high-order fuzzy cognitive maps☆20Updated 3 years ago
- Online Streaming Feature Selection☆26Updated 2 months ago
- MatLab implementation of W-QEISS, F-QEISS and W-MOSS: three algorithms for the selection of (quasi) equally informative subsets☆29Updated last year
- Multi-label feature selection using Ant colony optimization☆14Updated 3 years ago
- Deep Autoencoder with Extreme Learning Machines☆13Updated 3 years ago
- It contains some of the novel feature selection algorithms I've developed☆13Updated 3 years ago
- This toolbox offers more than 40 wrapper feature selection methods include PSO, GA, DE, ACO, GSA, and etc. They are simple and easy to i…☆169Updated 3 years ago
- Bagging, boosting and random forests in Matlab☆24Updated 9 years ago
- Improve Deep Learning based CNN & Extreme Learning Machine With Particle Swarm Optimization (Deep PSO) For Classification☆17Updated 11 months ago
- Ordinal-patterns-based analysis toolbox (permutation entropy, robust permutation entropy, conditional entropy of ordinal patterns, ordina…☆17Updated 5 years ago
- An adaptive transfer learning algorithm based on Gaussian Process☆11Updated 3 years ago
- Implementation of an online sequential extreme learning machine with kernels for nonstationary time series prediction.☆12Updated 3 years ago
- Multi-objective evolutionary algorithms for feature selection☆10Updated 3 years ago
- MATLAB code of ANFIS implementation. In this code, ANFIS is trained by PSO for solving Iris Classification Problem☆10Updated 6 years ago
- The binary version of Differential Evolution (DE), named as Binary Differential Evolution (BDE) is applied for feature selection tasks.☆10Updated 3 years ago
- [INTERSPEECH 2012] Feature Selection in High-Dimensional Classification☆18Updated 9 years ago
- Feature selection: Minimal Redundancy and Maximal Relevance (mRMR)☆21Updated 9 years ago
- A matlab implementation of ANFIS for classification, regression and time series forecasting with instantaneous visualization of the learn…☆19Updated 6 years 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☆14Updated 5 years ago