Table 3.
Open in new tab

The |${\rm{RMSPEs}}$| of inversion results using noise-added and de-noised data sets by the four networks relative to inversion result using noise-free data.

Data setNoise-addedAutoencoderFC networkLSTM networkLSTM-autoencoder
|${{\rm RMSPE}}\ ( \% )\ $||$57.55$||$25.50$||$41.59$||$12.21$||$3.46$|
Data setNoise-addedAutoencoderFC networkLSTM networkLSTM-autoencoder
|${{\rm RMSPE}}\ ( \% )\ $||$57.55$||$25.50$||$41.59$||$12.21$||$3.46$|
Table 3.
Open in new tab

The |${\rm{RMSPEs}}$| of inversion results using noise-added and de-noised data sets by the four networks relative to inversion result using noise-free data.

Data setNoise-addedAutoencoderFC networkLSTM networkLSTM-autoencoder
|${{\rm RMSPE}}\ ( \% )\ $||$57.55$||$25.50$||$41.59$||$12.21$||$3.46$|
Data setNoise-addedAutoencoderFC networkLSTM networkLSTM-autoencoder
|${{\rm RMSPE}}\ ( \% )\ $||$57.55$||$25.50$||$41.59$||$12.21$||$3.46$|
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