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Table 4 Variation of CNN-2 with the number of convolutional filters

From: High-dimensional aerodynamic data modeling using a machine learning method based on a convolutional neural network

Layer type

CNN-2-NCF8

CNN-2-NCF16

CNN-2-NCF32

CNN-2-NCF64

Input

109×1

109×1

109×1

109×1

First convolution

8, 3×1, 2×1

16, 5×1, 2×1

32, 6×1, 2×1

64, 8×1, 2×1

Second convolution

16, 3×1, 2×1

32, 5×1, 2×1

64, 6×1, 2×1

128, 8×1, 2×1

Output

3×1

3×1

3×1

3×1