Tim55667757 / FuzzyClassificatorLinks
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):
☆54Updated 8 years ago
Alternatives and similar repositories for FuzzyClassificator
Users that are interested in FuzzyClassificator are comparing it to the libraries listed below
Sorting:
- Bagging, boosting and random forests in Matlab☆25Updated 10 years ago
- A pytorch implementation of TSK fuzzy sytems.☆17Updated 6 years ago
- The Choquet Integral Neural Network☆15Updated 6 years ago
- Matlab code of the paper "Simple Strategies for Semi-Supervised Feature Selection", published in Machine Learning Journal☆27Updated 7 years ago
- Stacked Denoising AutoEncoder☆80Updated 6 years ago
- Takagi-Sugeno-Kang Fuzzy System☆17Updated 5 years ago
- Minimum redundancy maximum relevance feature selection approach for temporal gene expression data.☆11Updated 7 years ago
- Multivariate Regression and Classification Using an Adaptive Neuro-Fuzzy Inference System (Takagi-Sugeno) and Particle Swarm Optimization…☆52Updated 4 years ago
- MatLab implementation of W-QEISS, F-QEISS and W-MOSS: three algorithms for the selection of (quasi) equally informative subsets☆31Updated 2 years ago
- Implementing Genetic Algorithm on K-Means and compare with K-Means++☆64Updated last year
- Intrusion Detection is a technique to identify the abnormal behavior of system due to attack. The unusual behavior of the environment is …☆28Updated 8 years ago
- Implementation of ANFIS using the pyTorch framework☆143Updated 4 years ago
- This program uses neural networks to solve classification problems, and uses fuzzy sets and fuzzy logic to interpreting results. See arti…☆37Updated 5 years ago
- Synthetic Minority Over-sampling Technique☆41Updated 8 years ago
- In this project, I will demonstrate how to combine Genetic Algorithm with Convolutional Neural Network☆43Updated 7 years ago
- ☆89Updated 7 years ago
- Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python☆155Updated 6 years ago
- A fuzzy min max classifier introducing the concept of fuzzy neural networks.☆42Updated 4 years ago
- Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).☆39Updated 3 months ago
- Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.☆94Updated 4 years ago
- Multivariate Time Series Classification using Dilated Convolutional Neural Network☆11Updated 6 years ago
- Feature selection: Minimal Redundancy and Maximal Relevance (mRMR)☆24Updated 11 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…☆55Updated 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
- Implementation of several proposed algorithms to fuzzy time series prediction☆35Updated 3 years ago
- RandomWarpingSeries (RWS) is a simple code for generating the vector representation of time-series for time-series classification, cluste…☆21Updated 7 years ago
- Repository for the ablation study of "Long Short-Term Memory Fully Convolutional Networks for Time Series Classification"☆54Updated 6 years ago
- Prognostically Relevant Subtypes and Survival Prediction for Breast Cancer Based on Multimodal Genomics Data☆29Updated 6 years ago
- Implementation of rough sets based reduction algorithm for Python☆58Updated 3 years ago
- The paper "Triple-shapelet Networks for Time Series Classification"☆15Updated 5 years ago