結合支持向量機和小波理論的優點，提出了一種基于小波核支持向量機的傳感器非線
性誤差校正的原理和方法。該方法利用小波的多尺度插值特性和稀疏變化特性, 提高了支持向量機的泛化能力和抗噪聲能力。將該方法用于電渦流傳感器的非線性校正，實驗結果表明該小波核方法的校正效果優于傳統的多項式擬合方法和RBF核支持向量機，提高了電渦流傳感器測量的準確性。
關鍵詞：小波核；支持向量機；非線性校正；電渦流傳感器
Abstract：Combining the advantages of support vector machine (SVM) and wavelet theory, the paper brings up a sort of sensor nonlinear calibration method which bases on wavelet-kernel SVM. Making use of the characteristics of wavelet multi-scale interpolation and sparse variation, this method has improved the generalization ability and the noise resisting ability of vector support machine. The method used for eddy current sensor nonlinear correction, experimental results show that the correction effect of wavelet kernel methods is superior to the traditional polynomial fitting methods and RBF kernel support vector machine, greatly increasing the eddy current sensor measurement accuracy.
Key words: wavelet kernel; support vector machine; nonlinear emendation; eddy current sensor