Recurrent Neural Networks Archives

Stock Market Prediction using Neural Networks for Multi-Output Regression in Python

October 21, 2022July 13, 2021 Florian Follonier

In time series regression, the number of neurons in the final output layer determines how many steps in a time series the model can predict. We can design neural network architectures with multiple outputs in time-series forecasting to forecast more … Read more

Stock Market Prediction using Multivariate Time Series and Recurrent Neural Networks in Python

October 22, 2022June 1, 2020 Florian Follonier

Regression models based on recurrent neural networks (RNN) can recognize patterns in time series data, making them an exciting technology for stock market forecasting. What distinguishes these RNNs from traditional neural networks is their architecture. It consists of multiple layers … Read more

Rolling Time Series Forecasting: Creating a Multi-Step Prediction for a Rising Sine Curve using Neural Networks in Python

October 15, 2022April 19, 2020 Florian Follonier

We can solve many time forecasting problems by looking at a single step into the future. However, some forecasting problems require us to understand how a signal will develop over a more extended period. Such cases require a multi-step time … Read more

Stock Market Prediction – Adjusting Time Series Prediction Intervals in Python

October 22, 2022April 1, 2020 Florian Follonier

This tutorial shows how to adjust prediction intervals in time series forecasting using Keras recurrent neural networks and Python. We build on a previous article on stock market forecasting, in which we created a forecast for the S&P500 stock market … Read more