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Business
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SwingNN - 1.0
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Your data is imported into a grid and used to train a neural network. The neural network is then duplicated a number of times used to forecast the future.
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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| Software Requirements: |
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3 MBytes HD
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| This software is designed to run on the following operating systems: |
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Windows 2000, Windows, Windows 2003, Windows 95, Windows 98, Windows Me, Windows NT, Windows Vista, Windows XP
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| Keywords: |
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Neural Network, Artificial Intelligence, Forecasting
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