| Encog.ML.Train.Strategy.End |
| Name | Description |
|---|---|
| Greedy | |
| HybridStrategy | |
| RequiredImprovementStrategy | The reset strategy will reset the weights if the neural network fails to improve by the specified amount over a number of cycles. |
| ResetStrategy | The reset strategy will reset the weights if the neural network fails to fall below a specified error by a specified number of cycles. This can be useful to throw out initially "bad/hard" random initializations of the weight matrix. |
| StopTrainingStrategy |
