基于分布式模式识别框架研究方法  

The Research Method of Pattern Recognition Framework Based on the Distribution

作　　者：蔡艳婧 王则林[2] CAI Yan-jing;WANG Ze-lin(Electronics and IT Department/Jiangsu Vocational College of Business,Nantong 226011,China;School of Information Science and Technology/Nantong University,Nantong 226000,China)

机构地区：[1]江苏商贸职业学院电子与信息学院,江苏南通226011 [2]南通大学信息科学技术学院,江苏南通226000

出　　处：《山东农业大学学报（自然科学版）》2020年第2期266-268,共3页Journal of Shandong Agricultural University：Natural Science Edition

基　　金：江苏省高校高端研修资助项目(2018GRFX022);江苏高校“青蓝工程”项目资助(苏教师[2019]3号)。

摘　　要：传统模式识别是一种"微观宏观"的方法,模式拒识或误识的根源在于特征提取和选择的不当。本文提出一种"宏观微观"的分布式模式识别框架方法,较之传统方法:(1)回避了模式识别较难处理的特征抽取和选择问题,为复杂对象识别提供新的方法和技术;(2)采用动态、分布计算环境取代传统的静态、集中式模式识别环境。The methodology of tradition pattern recognition is a that of from macroscopic to microcosmos,the source of a pattern is refused or mistake recognition lie in impropriety abstraction and choicing the character. A framework of distributed pattern recognition be presented in this paper, it is a methodology of from microcosmos to macroscopic. The main innovation are:(1) advoid the difficulty of abstraction and choicing the character, provide a new technology for complex object recognition;(2) spread pattern recognition of static sate and concentration into dynamic state and distributed.

关 键 词：分布式 模式识别 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]