小波变换与协同计算机的一种新算法  

WAVELET TRANSFORM AND A NEW ALGORITHM FOR SYNERGETIC

作　　者：吴渝[1] 李红波[1] 曹长修[1] 

机构地区：[1]重庆大学自动化系,400033

出　　处：《模式识别与人工智能》1998年第1期27-33,共7页Pattern Recognition and Artificial Intelligence

摘　　要：本文在研究H.Haken的协同认知模型基础上,提出了一个简化的改进模型算法,该算法大大降低了原算法的复杂度,并可以在协同计算机的三层网络上高效率地并行实现.此外,将小波变换引入协同认知模型,构造了一个实用的协同计算机系统,基于图像的模式识别实例表明了本方案在学习与识别速度上更快.A new developed algorithm for synergetic cognition model is presented. It decreases the complexity of former algorithm and can be realized on the parallel three-layer network of synergetic computer with high efficiency. The wavelet transform is introduced here to build a practical synergetic computer system. Simulations of pattern recognition based on images sow that the new algorithm in this paper is faster in the speed of learning and recognizing.

关 键 词：协同计算机 模式识别 小波变换 算法 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]