Table 11 Accuracy analysis from the results, the superior performance of proposed optimized ERCN model is visible through various metrics. The proposed model exhibits its consistent performance over existing CNN, RNN, LSTM, GRU and VGG16 algorithms. The leading performance of proposed optimized ERCN model for all metrics highlights the importance of feature selection and optimization in shrimp disease detection process.
From: Enhanced recurrent capsule network with hyrbid optimization model for shrimp disease detection
Epochs | CNN | RNN | LSTM | GRU | VGG16 | Proposed ERCN |
|---|---|---|---|---|---|---|
10 | 81.2 | 83.4 | 85.0 | 80.1 | 82.3 | 88.5 |
20 | 84.0 | 86.1 | 87.5 | 83.5 | 85.0 | 90.1 |
30 | 86.5 | 88.3 | 89.8 | 86.0 | 87.3 | 92.0 |
40 | 88.1 | 89.9 | 91.2 | 87.4 | 89.0 | 93.2 |
50 | 90.1 | 91.3 | 92.3 | 89.8 | 91.7 | 95.2 |
