Recurrent-Fuzzy-Neural-Network
Time series predictor
A software framework that uses a recurrent neural network with fuzzy logic to predict chaotic time series data
MFRFNN: Multi-Functional Recurrent Fuzzy Neural Network for Chaotic Time Series Prediction
63 stars
1 watching
5 forks
Language: MATLAB
last commit: over 2 years ago
Linked from 1 awesome list
fnnfuzzy-neural-networkmachine-learningmatlabneural-networkneuro-fuzzyrecurrent-fuzzy-neural-networkrecurrent-neural-networkstime-seriestime-series-forecastingtime-series-prediction
uhub/awesome-matlabRelated projects:
| Repository | Description | Stars |
|---|---|---|
| hamid-nasiri/vmd-mfrfnn | An implementation of a multi-step-ahead stock price prediction algorithm using recurrent fuzzy neural networks and variational mode decomposition. | 50 |
 mhjabreel/stf-rnn | Recurrent neural network model for predicting people's next location based on spatial and temporal features | 28 |
 hfawaz/dl-4-tsc | This project provides a framework for evaluating and comparing different deep learning architectures for time series classification tasks. | 1,576 |
 tgjeon/tensorflow-tutorials-for-time-series | A comprehensive guide to time series prediction using TensorFlow | 1,108 |
 ragulpr/wtte-rnn | A framework for predicting time to event and churn using recurrent neural networks with Weibull distribution | 769 |
 damitkwr/esrnn-gpu | A PyTorch implementation of an optimized deep learning model for time series forecasting on GPUs. | 319 |
 guillaume-chevalier/seq2seq-signal-prediction | A project demonstrating the use of a Sequence-to-Sequence Recurrent Neural Network (RNN) for time series forecasting in Python using TensorFlow. | 1,082 |
 microprediction/timemachines | Provides a simple and unified interface to various univariate time-series prediction algorithms | 413 |
 rezahsnz/mlg | A decentralized CNN classification service that distributes pre-trained models across a network of provider nodes and collects predictions in real-time. | 2 |
 modern-fortran/neural-fortran | A parallel framework for building neural networks in Fortran | 411 |
 cauchyturing/ucr_time_series_classification_deep_learning_baseline | Developing and evaluating deep learning models for time series classification with a focus on interpretability and deployability. | 682 |
 nourozr/stock-price-prediction-lstm | A Python project that uses LSTM recurrent neural networks to predict the average price of Apple Inc. stock based on historical data | 576 |
 taolei87/rcnn | An implementation of neural network components and optimization methods for text analysis, including rationales for neural predictions. | 355 |
 farizrahman4u/recurrentshop | A framework for building custom recurrent neural networks with Keras | 765 |
 nazanin1369/stockpredictor | Uses machine learning and deep learning to predict stock movement based on historical data from Yahoo Finance. | 49 |