基于人工免疫学原理的字符串识别算法的实现

Junmin Ye, Junjie Wang, Wei Dong, Zhichang Qi
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引用次数: 0

摘要

人工免疫系统模拟自然免疫系统中淋巴细胞的原理,通过免疫应答机制检测被测对象的异常。在r-行匹配算法的基础上,提出了一种两阶段r-行匹配算法。根据免疫的概念、免疫过程和机制,利用滑动窗口设计了自集和检测集。在此基础上,实现了自集、探测集等生成算法,以及探测集训练算法。最后,基于滑动窗口的数据结构,实现了字符串识别算法。实验表明,该算法可以有效地进行字符串识别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation of String Recognition Algorithm Based on the Principle of Artificial Immunology
Artificial immune system simulates the principle of lymphocytes in the natural immune system, detects abnormality in objects to be tested through the immune response mechanism. Based on the r-row-matching algorithm, we propose a two-stage r-row-matching algorithm. According to the concept of immunity, the immunity process and mechanism, we design self-set and detector-set by using a sliding window. On this basis, the self-set, the detector-set and other generating algorithm, as well as the algorithm of detector-set training are implemented. Finally, based on the data structure of sliding window, the string recognition algorithm is implemented. Experiments show that the algorithm can effectively carry out string identification.
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