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Neural Planner Software Ltd Registered Company Number: 6076291
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Forecast sales, exchange rates,
stock prices, profit, test results, health. If you have the data SwingNN will do the forecasting.
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Many forecasting applications that use advanced methods create and train a single neural network. SwingNN introduces a new approach to forecasting using a series of neural networks. Multiple neural networks are created and trained. Each new neural network learns from the results produced by the previous one. The neural network that produces the most accurate known results is selected and used to extrapolate and forecast results beyond the existing training limits. 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. |
Turn mountains of data into results with EasyNN-plus
Copyright
© 2008 Neural Planner Software Ltd
Last Updated: 21st July 2008