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Table 2

Result of SVM soft-sensors trained using different input subsets

InputsR2aNRMSEa
pH + Ammonia_conc + pressure 0.813 0.182 
pH + Ammonia_conc + pressure + CO2_mol fraction 0.990 0.033 
pH + Ammonia_conc + pressure + CO2_mol_fraction + TSS_out 0.972 0.058 
pH + Ammonia_conc + pressure + CO2_mol_fraction + TSS_out + Flow 0.977 0.044 
pH + Ammonia_conc + pressure + CO2_mol_fraction + TSS_out + Flow + H2_mol_fraction 0.971 0.049 
InputsR2aNRMSEa
pH + Ammonia_conc + pressure 0.813 0.182 
pH + Ammonia_conc + pressure + CO2_mol fraction 0.990 0.033 
pH + Ammonia_conc + pressure + CO2_mol_fraction + TSS_out 0.972 0.058 
pH + Ammonia_conc + pressure + CO2_mol_fraction + TSS_out + Flow 0.977 0.044 
pH + Ammonia_conc + pressure + CO2_mol_fraction + TSS_out + Flow + H2_mol_fraction 0.971 0.049 

aEstimated using test data set.

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