【摘要】 提出一种基于小波核支持向量机分类模型,将其用于SARS蛋白质二级结构预测.实验表明,该模型与其他同类方法相比,提高蛋白质二级结构预测的准确度达到1%~2%.更多还原

【Abstract】 A classification model based on the wavelet kernel function of support vector machine(SVM) was proposed to improve the accuracy of protein secondary structure prediction.The model was applied to predict protein secondary structure of SRAS.It shows good abilities of classification and generalization by making use of the characters of wavelet and SVM.Simulational results show that the algorithm has better performance than other comparable ones and that it can improve the accuracy of predicting secondary structure of SARS by a 1%~2% increase.更多还原