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.

Your data is imported into a grid. The grid is then used to build and train a neural network. The neural network input values are then forced to swing beyond their limits. The unknown output values are forecasted by the neural network. Then a new neural network is created using the new inputs and forecasted outputs. The two neural networks are compared. The inputs are adjusted and another new neural network is created. The process continues until a neural network produces the best results when validated. The new neural network is then used to produce more forecasts. The forecasts produced are validated and then added to the grid. All the values in the grid can be exported for you to use in any way you want.

Platforms: Win95 , Win98 , WinME , WinNT 4.x , WinXP , Windows2000 , Windows2003 , Windows Tablet PC Edition 2005 , Windows Vista Starter , Vista , Windows Vista Home Basic , Windows Vista Home Premium , Windows Vista Business , Windows Vista Enterprise , Windows Vista Ultimate

System requirements: 3 MBytes HD