7. AutoStop



Fig. 1. Use the AutoStop function to set criteria for automatic stopping of network learning.

You can select any combination of the stopping criteria. When any one of them is met, the training will stop.

AutoStop at Iterations Count
The training process will stop when the specified iteration count is reached. The current iteration count is shown at the right for your reference.
AutoStop at Error Levels
The training will stop when the specified testing error level is reached. The current testing error is shown at the right for reference.
AutoStop When No Changes
The training will stop when there is no more further changes in the error.

Main Page
1. A Quick Tour of NeuroForecaster and GENETICA
2. Neural Network Applications
3. Genetic Algorithms & Genetically Evolved NNs
4. Using GA To Reduce Input Data Dimension
5. AutoTest Function
6. AutoSave Function
7. AutoStop Function
8. VisuaData - A Neural Net Preprocessor for Traders
9. References
10. Free financial data & info, links to financial pages


Papers Available:

1. NeuroGenetic Computing
2. NeuroFuzzy Computing
3. Select! (Technical Report I): Trading With A Stock's Alpha
4. Select! (Technical Report 2): Trading for the Risk-Averse


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