An algorithm for support vector regression is improved and implemented as in computer programming. And this new algorithm

together with the particle swarm optimization

is used to regress the nonlinear function about how would compressor efficiency or corrected inlet air flow vary when the rotor speed

pressure ratio and compressor inlet flow angle changed. Here the inlet flow angle is considered as one of the independent variables

so this is the improvement for the method to achieve the compressor characteristics maps only depending on rotor speed and pressure ratio. The nonlinear relationship between the dependent variables and independent ones described above was regressed by support vector machine

and its degree of approximation was optimized by particle swarm optimization. Finally

the method was tested to be effective to achieve the nonlinear function describing the compressor characteristics maps.