Table 2. Recognition results of training and testing sets of egg samples by LVQ neural network based on image characteristic parameter.
Incubationtime/d | Non developed embryo/Embryo development (N/D)/% | Embryo development/Weak developed embryo (D/W)/% | ||||||
Modelingaccuracy | cv | Predictionaccuracy | Cv | Modelingaccuracy | cv | Predictionaccuracy | cv | |
Day 0 | 74±3 | 4 | 72±2 | 3 | 73±5 | 7 | 73±4 | 5 |
Day 1 | 79±4 | 5 | 70±3 | 4 | 74±4 | 5 | 71±3 | 4 |
Day 2 | 82±1 | 1 | 76±2 | 3 | 76±3 | 4 | 70±3 | 4 |
Day 3 | 99±0 | 0 | 97±0 | 0 | 83±2 | 2 | 81±2 | 2 |
Day 4 | 100±0 | 0 | 100±0 | 0 | 93±1 | 1 | 92±2 | 2 |