文献类型：会议论文

英文题名：An English Letter Recognition Algorithm Based Artificial Immune

作者：Liang, Chunlin[1];Peng, Lingxi[1];Hong, Yindie[1];Wang, Jing[1]

机构：[1]Guangdong Ocean Univ, Software Sch, Zhanjiang 524025, Peoples R China

会议论文集：6th International Symposium on Neural Networks

会议日期：MAY 26-29, 2009

会议地点：Wuhan, PEOPLES R CHINA

语种：英文

外文关键词：Letter recognition; Pattern recognition; Artificial immune system; Machine learning

外文摘要：In the study of letter recognition, the recognition accuracy is impacted by fonts and styles. which is the main bottleneck that the technology is applied. In order to enhance the accuracy, a letter recognition algorithm based artificial immune, referred to as LEBAI, is presented. Inspired by, nature immune system, antibody cell (B-cell) Population is evolved until the B-cell population is convergent through the learning of each training antigen and the memory cells pool is updated by the optimal B-cell. Finally, recognition is accomplished by memory cells. It is tested by the well-known letter recognition data set of UCI (University of California at Irvine). Compared with HSAC (Letter Recognition Using Holland-Style Adaptive Classifiers). LEBAI showed that recognition accuracy is increased from 82.7% to 95.58%. LEBAI achieves the same recognition accuracy for the letters of different font and styles or stretched and distorted randomly.