摘要
在介绍ARTIS免疫系统模型的基础上,提出多字段r连续位匹配规则来优化ARTIS模型并将其应用于汽车图像识别中。实验表明,优化的ARTIS模型不仅提高了模式识别的效率,而且算法的时间复杂度和空间复杂度是令人满意的。
<Abstrcat>Based on the basic ARTIS, the paper proposes a new match regulation called multi-segments r-contiguous match regulation in order to optimize the ARTIS model,which is applied to vehicle image recognition. The experiment indicates that the optimized ARTIS not only improves the pattern recognition percentage, but also obtains satisfactory time complexity and space complexity.
出处
《计算技术与自动化》
2005年第2期16-19,共4页
Computing Technology and Automation
基金
湖南省自然科学基金资助项目(项目号:03JJY3101)
