具有量子特性的ACA-SVM网页分类方法

摘要

To solve the SVM classification problem of high computational complexity and not suited to large-scale scenes,ACA-SVM with quantum features of Chinese web pages classification is proposed.It improves the algorithm and proposes a strategy for dynamic adjustment of rotation angle.Tests shows that the method improves the accuracy,recall and processing time.%为了克服装 SVM 网页分类计算复杂度高、不适应大规模场景的问题,提出了将具有量子特性的 ACA 和 SVM 进行融合的中文网页分类方法;对算法进行改进,提出了一种动态调整旋转门旋转角的策略.实验表明,该方法在精度、召回率及处理时间上均有明显提高.