Focusing on the amplifier performance evaluation demand, a novel evaluation strategy based on<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mml:mrow><mml:mi>δ</mml:mi></mml:mrow></mml:math>-support vector regression (<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M2"><mml:mrow><mml:mi>δ</mml:mi></mml:mrow></mml:math>-SVR) is proposed in this paper. Lower computer calculation demand is considered firstly. And this is dealt with by the superiority of<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M3"><mml:mrow><mml:mi>δ</mml:mi></mml:mrow></mml:math>-SVR which can be significantly improved on the number of support vectors. Moreover, the function of<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M4"><mml:mrow><mml:mi>δ</mml:mi></mml:mrow></mml:math>-SVR employs the modified RBF kernel function which is constructed from an original kernel by removing the last coordinate and adding the linear term with the last coordinate. Experiment adopted the typical circuit Sallen-Key low pass filter to prove the proposed evaluation strategy via the eight performance indexes. Simulation results reveal that the need of the number of<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M5"><mml:mrow><mml:mi>δ</mml:mi></mml:mrow></mml:math>-SVR support vectors is the lowest among the other two methods LSSVR and ε -SVR under obtaining nearly the same evaluation result. And this is also suitable for promotion computational speed.
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