An Artificial Neural Network Model for Prediction of the Operational Parameters of Centrifugal Compressors: An Alternative Comparison Method for Regression

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Nomenclature A,B,C,D,E,F Regression coefficients Pout Gas station outlet pressur Tsuc Compressor input temperature FC Fuel consumption Psuc Compressor suction pressure Z Compressibility coefficient HP Compressor poly tropic head Pt.rpm Lp turbine speed α Power corrective coefficient HV Heating value q, Q Flow rate ηm Lp tubine mechanical efficiency k Poly tropic index Qac Real flow rate ηp Compressor poly tropic efficiency MSE Mean of standard error Qst Standard flow rate ηt Hp turbine thermal efficiency MAE Maximum absolute error R2 Regression R square λmax Maximum eigenvalue NMSE Normal mean of standard error S Compressor speed λmin Minimum eigenvalue no Number of compressor Tamb Ambient temperature     Pdis Compressor output pressure Tdis Tout Compressor output temperature     Pin Gas station inlet pressure Tin Gas station inlet temperature

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