果蝇算法优化粗糙集特征选择的英语翻译方法设计  

Design of english translation method for selection of rough set characteristics based on fruit flying optimization algorithm

作　　者：孙瑞[1] Sun Rui(Xi'an Innovation College,Yan'an University,Xi'an 710100,China)

机构地区：[1]延安大学西安创新学院,陕西西安710100

出　　处：《现代科学仪器》2019年第4期158-160,共3页Modern Scientific Instruments

摘　　要：针对目前英语名词短语翻译存在精度低和误差大的缺点,提出一种基于果蝇优化算法的粗糙集特征选择的英语翻译方法。在特征选择最少的情况下,使得英语翻译准确度最高。通过与SOA、SCA以及SLA对比可知,本文算法FOA-RS进行英语翻译具有更高的准确率Accuracy、精确率Precision和召回率Recall,效果较好,为英语翻译提供新的方法和途径。Aiming at the disadvantages of low precision and large error in English noun phrase translation,an English translation method based on Fruit Flying optimization algorithm is proposed.With the least choice of features,English translation is the most accurate.By comparing with SOA,SCA,and SLA,it can be seen that the FOA-RS algorithm has higher accuracy in English translation.The accuracy,accuracy,and recall rate Recall are better,and provide new methods and approaches for English translation.

关 键 词：果蝇优化算法 英语翻译 特征选择 准确率 召回率 

分 类 号：TM933.4[电气工程—电力电子与电力传动]