Table 3 The effect of different neural network architecture and topologies on R2 and AAD in the estimation of lipase-catalyzed synthesis of palm-based wax ester obtained in the training and testing of neural networks
Name | Model | Learning Algorithm | Connection Type | Transfer Function Output | Transfer Function Hidden | Training Set R2 | Training Set AAD (%) | Testing Set R2 | Testing Set AAD (%) |
|---|---|---|---|---|---|---|---|---|---|
C11 | 4-15-1 | IBPa | MFFFb | Linear | Tanhd | 1 | 0.002844 | 0.994122 | 1.289405 |
C15 | 4-15-1 | IBP | MNFFc | Linear | Tanh | 1 | 0.014932 | 0.979308 | 3.157524 |
C9 | 4-12-1 | IBP | MNFF | Linear | Tanh | 1 | 0.000794 | 0.934519 | 4.538254 |
C16 | 4-10-1 | IBP | MNFF | Linear | Tanh | 1 | 0.014686 | 0.937174 | 5.3352 |
C10 | 4-10-1 | IBP | MFFF | Linear | Tanh | 1 | 0.002646 | 0.904918 | 6.323364 |