devopshq / FuzzyClassificator
This program uses neural networks to solve classification problems, and uses fuzzy sets and fuzzy logic to interpreting results. See article about math in FuzzyClassificator (russian): http://math-n-algo.blogspot.ru/2014/08/FuzzyClassificator.html
☆36Updated 4 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. [WARNING…☆51Updated 7 years ago
- A fuzzy min max classifier introducing the concept of fuzzy neural networks.☆40Updated 3 years ago
- A Python implementation of the Differential Evolution algorithm for the optimization of Fuzzy Inference Systems.☆21Updated 6 years ago
- Source Code for 'Deep Neuro-Fuzzy Systems with Python' by Himanshu Singh and Yunis Ahmad Lone☆67Updated 5 years ago
- Python implementation of an Adaptive neuro fuzzy inference system☆208Updated 9 months ago
- The Choquet Integral Neural Network☆13Updated 5 years ago
- In this project, I will demonstrate how to combine Genetic Algorithm with Convolutional Neural Network☆42Updated 6 years ago
- A collection of Python tools for feature extraction and image classification using Sparse Coding algorithms.☆70Updated 6 years ago
- Implementation of ANFIS using the pyTorch framework☆132Updated 3 years ago
- Python implementation for some Interval Type 2 Fuzzy Set (IT2 FS) concepts.☆11Updated last year
- Collection of examples with LSTM recurrent neural networks☆11Updated 7 years ago
- A Tensorflow implementation of the Adaptive Neuro-Based Fuzzy Inference System (ANFIS)☆98Updated last year
- Introducing Local Distance-based Features to Temporal Convolutional Neural Networks (ICFHR 2018)☆29Updated 6 years ago
- Autoencoders - a deep neural network was used for feature extraction followed by clustering of the "Cancer" dataset using k-means techni…☆13Updated 6 years ago
- Gustafson Kessel & Fuzzy C-Means Implementation☆28Updated 3 years ago
- Multivariate Regression and Classification Using an Adaptive Neuro-Fuzzy Inference System (Takagi-Sugeno) and Particle Swarm Optimization…☆48Updated 3 years ago
- A fully connected neural network classifier with arbitrary number of hidden layers, different activation functions, etc..☆16Updated 6 years ago
- Various distance and similarity measures in python☆22Updated 6 years ago
- This is an implementation of Adaptive-Network-Based Fuzzy Inference System (ANFIS) based on Keras on top of Tensorflow 2.0.☆37Updated 2 years ago
- Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.☆92Updated 3 years ago
- A matlab implementation of ANFIS for classification, regression and time series forecasting with instantaneous visualization of the learn…☆19Updated 7 years ago
- Python implementation of "A Fuzzy K-nearest Neighbor Algorithm by J.M Keller, M.R. Grey and J.A. Givens" 📝☆21Updated 7 years ago
- Fuzzy machine learning algorithms implementing the scikit-learn interface.☆75Updated 7 months ago
- A collection of black-box optimizers with a focus on evolutionary algorithms☆27Updated 5 years ago
- PSO algorithm written in TensorFlow☆19Updated 5 years ago
- *SEM 2018: Learning Distributed Event Representations with a Multi-Task Approach☆21Updated 6 years ago
- Classify spambase dataset: https://archive.ics.uci.edu/ml/datasets/Spambase☆23Updated 8 years ago
- Takagi-Sugeno-Kang Fuzzy System☆16Updated 4 years ago
- Fuzzy Fusion of Decisions from Heterogeneous Deep Machine Learning Models☆15Updated 5 years ago
- TensorFlow Implementation of Manifold Regularized Convolutional Neural Networks.☆18Updated 7 years ago