Impacts of Sample Design for Validation Data on the Accuracy of Feedforward Neural Network Classification
Validation data are often used to evaluate the performance of a trained neural network and used in the selection of a network deemed optimal for the task at-hand. Optimality is commonly assessed with a measure, such as overall classification accuracy. The latter is often calculated directly from a c...
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| Format: | Article |
| Language: | English |
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MDPI AG
2017-08-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/7/9/888 |