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. 2019 Feb 25;19(4):972. doi: 10.3390/s19040972

Table 7.

Diagnosis accuracy of AICNN-1D with input-corrupt training and global average pooling, with clean-input training and with fully-connected layers.

Method SNR (dB)
−2 0 2 4 6 8 10 12
DCAE-1D + AICNN-1D (model A) 96.65 99.23 99.42 99.58 99.63 99.72 99.75 99.78
DCAE-1D + AICNN-1D (model B) 93.54 97.32 98.89 99.19 99.25 99.30 99.60 99.75
DCAE-1D + AICNN-1D (model C) 94.26 97.89 99.15 99.26 99.37 99.58 99.68 99.78