演化硬件在模式识别中的应用综述

Survey on applying evolvable hardware for pattern recognition

演化硬件以其速度快、灵活性强、实时适应等特点,在模式识别应用中易于建立学习时间短、识别速度快、精确分类的高效识别系统。在论述基于演化硬件模式识别技术的体系结构基础上,总结了不同的演化模型和各自的特性,并对各模型适合的应用领域进行了对比分析。介绍了国内外演化硬件模式识别技术研究的主要方向和发展现状,讨论了演化硬件在模式识别应用中的未来发展趋势和亟需解决的问题。

Evolvable Hardware（EHW） is rapidf,lexibile and real-time adaptativei,t’s very efficient to build a classification system with the features of short learning time,high processing speed and high classification accuracy.By analyzing the archi-tecture of EHW-based pattern recognition technology,various EHW-based pattern recognition models and their characteristics are summarized.Different application fields of various EHW recognition schemes are presented.The state-of-the-art researches and advantages on applying EHW for pattern recognition applications are discussed.This paper also indicates the challenges and the future research directions of EHW-based pattern recognition technology which should be further studied.