Support vector machine (SVM) has been widely used as a powerful tool for classification problem arising from various fields and shown that the parameters are critical in the performance of SVM [1]. However, the same parameters are not suitable for all classification problems. In this paper, numerical results show that the performance of SVM with optimal parameters is significant difference to e...
