Forecasting the future with SwingNN
Your data is imported into a grid and used to train a neural network.
The input values are forced to swing beyond their limits. The output
values are forecasted by the neural network. A new neural network is
created using the new inputs and forecasted outputs. The neural
networks are compared. The inputs are adjusted and another new neural
network is created. The process continues until a new neural network
agrees with the original about the forecasts. The forecasts are added
to the grid for you to use.
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Neural Planner Software Ltd http://npsl1.com
EasyNN-plus. Build Neural Networks. http://www.easynn.com
SwingNN. Forecast the Future. http://www.swingnn.com
