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- W2355538592 abstract "An algorithm for support vector regression was improved and implemented in computer programming.And this new algorithm,together with the particle swarm optimization(PSO),was used to regress the nonlinear function about how compressor efficiency or corrected inlet air flow may vary with the change of the rotor speed,pressure ratio and compressor inlet flow angle.The inlet flow angle was considered as one of the independent variables,so this method was improved to achieve the compressor characteristics only depending on rotor speed and pressure ratio.The nonlinear relationship between dependent and independent variables described above was regressed by support vector machine(SVM),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." @default.
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- W2355538592 date "2010-01-01" @default.
- W2355538592 modified "2023-09-24" @default.
- W2355538592 title "Method to achieving compressor characteristics based on support vector machine(SVM) and particle swarm optimization(PSO)" @default.
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