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...
| Main Author: | |
|---|---|
| Format: | Article |
| Published: |
MDPI
2017
|
| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/45703/ |