Processes 2023 , 11 , 809
11of 19
were used as it was found that using a dropout layer in conjunction with the early stopping technique reduced the overfitting of the data [38]. The optimal network structure was chosen from several network configurations listed in Table 3 and includes an input layer, three LSTM layers, an ANN layer, a fully connected layer, an output layer, and a regression layer. The network configuration shown in the third row (Serial No. 3) was chosen as it showed a high R 2 value with a 0.5 dropout rate.
( a )
Cellulose DP (Eucalyptus)
12,000
10,000
8000
6000
4000
2000
0
0
20
40
60
80
100
Time (min)
( b )
Figure5. ( a ) The Kappa number predicted by the multiscale kMC model for Eucalyptus wood and ( b ) the degree of polymerization predicted by the multiscale kMC model for Eucalyptus wood.
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