Research Article
Is the Linear Modeling Technique Good Enough for Optimal Form Design? A Comparison of Quantitative Analysis Models
Table 6
Neurons, learning rate, and momentum of NN models.
| ā | Input neuron | Hidden neuron | Output neuron | Learning rate | Momentum | Note |
| NN-FE-P | 6 | 4 | 1 | 0.2 | 0.5 | According to our previous study | NN-FE-S | 6 | 4 | 1 | 0.9 | 0.6 | Research issue is very simple | NN-FE-C | 6 | 4 | 1 | 0.1 | 0.1 | Research issue is more complicated | NN-FE-N | 6 | 4 | 1 | 0.05 | 0.5 | Research issue is complex and very noisy | NN-FT-P | 19 | 10 | 1 | 0.2 | 0.5 | According to our previous study | NN-FT-S | 19 | 10 | 1 | 0.9 | 0.6 | Research issue is very simple | NN-FT-C | 19 | 10 | 1 | 0.1 | 0.1 | Research issue is more complicated | NN-FT-N | 19 | 10 | 1 | 0.05 | 0.5 | Research issue is complex and very noisy |
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