VMD-MFRFNN
Stock price predictor
An implementation of a multi-step-ahead stock price prediction algorithm using recurrent fuzzy neural networks and variational mode decomposition.
VMD-MFRFNN
48 stars
3 watching
6 forks
Language: MATLAB
last commit: about 1 year ago
Linked from 1 awesome list
fnnfuzzy-neural-networkmachine-learningmatlabneural-networkneuro-fuzzyrecurrent-fuzzy-neural-networkrecurrent-neural-networkstime-seriestime-series-forecastingtime-series-predictionvariational-mode-decompositionvmd
uhub/awesome-matlabRelated projects:
| Repository | Description | Stars |
|---|---|---|
| hamid-nasiri/recurrent-fuzzy-neural-network | A software framework that uses a recurrent neural network with fuzzy logic to predict chaotic time series data | 62 |
 shikhar1998/stock-market-prediction-using-neural-networks-and-genetic-algorithm | An AI model predicting stock market prices using neural networks and genetic algorithms | 77 |
 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 | 573 |
 nazanin1369/stockpredictor | Uses machine learning and deep learning to predict stock movement based on historical data from Yahoo Finance. | 49 |
 vivekpa/introneuralnetworks | An educational project to teach machine learning and neural networks using stock price prediction as an example | 741 |
 robertmartin8/machinelearningstocks | A Python project applying machine learning to predict stock price movements based on historical data and fundamental analysis. | 1,764 |
| vivekpa/aialpha | This project trains machine learning models to predict stock returns using various algorithms and techniques. | 1,734 |
 achillesrasquinha/bulbea | A library for building machine learning models to predict stock prices and analyze market sentiment. | 2,049 |
 malhartakle/mastersdissertation | An experimental project comparing different machine learning algorithms and ensemble methods for predicting stock market trends. | 1 |
 lastancientone/deep_learning_machine_learning_stock | An in-depth analysis and experimentation of stock market prediction using machine learning and deep learning techniques. | 1,254 |
 harimkang/lstm-prediction | A time series prediction project using LSTM algorithm to forecast jeans prices based on historical sales data | 56 |
 mhjabreel/stf-rnn | Recurrent neural network model for predicting people's next location based on spatial and temporal features | 28 |
 sravb/algorithmic-trading | An algorithmic trading system using machine learning and historical stock data to predict price movements. | 113 |
 mfrdixon/ml_finance_codes | A collection of Python machine learning code accompanying a finance textbook. | 1,853 |
 ha2emnomer/deep-trading | This is an implementation of a trading algorithm using RNNs to predict stock return prices based on S&P 500 index movements. | 32 |