Learning data processing system
To solve the problem of feed-forward neural networks converging to local minima in pattern classification tasks the order of pattern presentation is modified during training so that the minority classes get the same number of presentations as the majority class. Patterns from different classes are i...
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Zusammenfassung: | To solve the problem of feed-forward neural networks converging to local minima in pattern classification tasks the order of pattern presentation is modified during training so that the minority classes get the same number of presentations as the majority class. Patterns from different classes are interleaved. This prevents the training process from finding a deep local minimum which classifies all of the minority class wrongly. |
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