Prediction using neural networks
This tutorial introduces the topic of prediction using artificial neural networks. In particular, prediction of time series using multi-layer feed-forward neural networks will be described.
First, the topic of prediction will be described together with classification of prediction into types. After that, the prediction using neural networks (NNs) will be described. The focus will be on the creation of a training set from a time series. For the illustration of this topic Java applets are available that illustrate the creation of a training set and that show the result of a prediction using a neural network of backpropagation type both on functions and financial data.
To continue press the Next button or you can skip the introductory text and directly try the prediction online.