Tim55667757 / FuzzyClassificator
This program uses neural networks to solve classification problems, and uses fuzzy sets and fuzzy logic to interpreting results. [WARNING] The development is frozen here and moved to the Open DevOps community: https://github.com/devopshq/FuzzyClassificator. See article about math in FuzzyClassificator (russian):
☆52Updated 7 years ago
Alternatives and similar repositories for FuzzyClassificator:
Users that are interested in FuzzyClassificator are comparing it to the libraries listed below
- This program uses neural networks to solve classification problems, and uses fuzzy sets and fuzzy logic to interpreting results. See arti…☆36Updated 5 years ago
- Bagging, boosting and random forests in Matlab☆24Updated 9 years ago
- Implementation of the SimpleMKL algorithm (multiple kernel SVM)☆20Updated 10 years ago
- A graph clustering method with ant colony optimization for feature selection☆12Updated 4 years ago
- Self-Organizing Fuzzy Neural Network☆27Updated 4 months ago
- Feature selection: Minimal Redundancy and Maximal Relevance (mRMR)☆23Updated 10 years ago
- Ensemble Learning Toolbox☆16Updated 4 years ago
- Using GreyWolfOptimization for feature selection and multi kernel SVM for classification for Malware Hunting on IoT devices☆43Updated 4 years ago
- The Choquet Integral Neural Network☆13Updated 5 years ago
- Emotion Recognition using PSO and SVM☆15Updated 3 years ago
- Implementation of several proposed algorithms to fuzzy time series prediction☆35Updated 2 years ago
- A pytorch implementation of TSK fuzzy sytems.☆16Updated 5 years ago
- Multivariate Regression and Classification Using an Adaptive Neuro-Fuzzy Inference System (Takagi-Sugeno) and Particle Swarm Optimization…☆49Updated 3 years ago
- MatLab implementation of W-QEISS, F-QEISS and W-MOSS: three algorithms for the selection of (quasi) equally informative subsets☆30Updated last year
- A fuzzy min max classifier introducing the concept of fuzzy neural networks.☆40Updated 3 years ago
- Wrapper Based feature selection using Particle Swarm Optimization☆12Updated 5 years ago
- Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.☆93Updated 3 years ago
- Autoencoders - a deep neural network was used for feature extraction followed by clustering of the "Cancer" dataset using k-means techni…☆13Updated 7 years ago
- This repository is the source code for Wavelet-HFCM of the paper 'Time Series Forecasting based on High-Order Fuzzy Cognitive Maps and Wa…☆53Updated 2 years ago
- Weighted LSSVM for regression☆38Updated 6 years ago
- Implementation of Fuzzy Cognitive Maps Based on Fuzzy Neural Network☆35Updated 8 years ago
- Matlab code of the paper "Simple Strategies for Semi-Supervised Feature Selection", published in Machine Learning Journal☆27Updated 7 years ago
- Houses implementation of the Fast Correlation-Based Filter (FCBF) feature selection method.☆61Updated 3 years ago
- Intrusion Detection is a technique to identify the abnormal behavior of system due to attack. The unusual behavior of the environment is …☆27Updated 7 years ago
- The Code of Time series prediction using sparse autoencoder and high-order fuzzy cognitive maps☆20Updated 3 years ago
- A Particle Swarm Optimization (PSO) for Feature Selection. Using PySwarm.☆53Updated 6 years ago
- Infinite Feature Selection: a Graph-based Feature Filtering Approach☆39Updated 8 months ago
- Multivariate Time Series Classification using Dilated Convolutional Neural Network☆12Updated 5 years ago
- An ANFIS Model for Stock Price Prediction☆29Updated 4 years ago
- A Python Implementation of Kernel Extreme Learning Machine for Ordinal Regression☆26Updated 4 years ago