SwingNN free download 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. 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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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.

Updated Sep 14, 2008 21:59:44
Size2919 kb
LicenceShareware
StatusNew Release
LanguagesEnglish
Tagsforecast, prediction, neural network, artificial intelligence
OSWindows 95, Windows 98, Windows ME, Windows NT, Windows 2000, Windows XP, Windows 2003, Windows Vista, Windows CE
Homepageswingnn.com
EmailNeural.Planner.Software.Ltd@googlemail.com
AuthorSteve Wolstenholme
SwingNN free download 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. 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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Description:
   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.
Short tags:
forecast, prediction, neural network, artificial intelligence
System Requirements:
3 MBytes HD
Change Info:
Pattern detection and forecasting simplified.
      Freeware alternatives SwingNN 3.0
Free Download now  Free Download SwingNN 3.0 from swingnn.com

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