基于支持向量机的去噪在电法勘探中的应用

Application of Eliminating Noise Based on A Support Vector Machine in Electric Prospection

提出了一种基于支持向量机的去噪方法。借助支持向量机在小样本情况下良好的推广能力,利用支持向量机回归逼近数据去除噪声。使用该方法对大地电磁测深视电阻率进行了处理,应用效果良好。

A method for eliminating noise based on a support vector machine is proposed. The support vector machine is used for regression and approximation of data for the purpose of eliminating noise by using the excellent introducing ability of small sample of the support vector machine. The method is used for processing the apparent resistivity of magnetotelluric measured depth, and better result is achieved.