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机构地区:[1]浙江大学宁波理工学院,宁波315010 [2]江苏大学计算机科学与通信工程学院,镇江212013
出 处:《计算机研究与发展》2006年第5期867-873,共7页Journal of Computer Research and Development
摘 要:模式识别过程就是对输入模式的分类过程,类是模式的本质,一般认为特征向量是模式的概括,基于这一认识,使得计算机准确地识别模式为某一类是困难的,问题在于人类的识别活动从不基于什么概括的特征向量,而是基于对输入模式的某一侧面的认识,然后利用相似、融合、协同进行识别.这一机制与Agent的工作原理极其相似,通过分析概括模式对模式识别所带来的困难,基于协同学中序参量的概念,给出了基于Agent的模式识别框架APRF(agentorientationpattenrecognitionframe).The pattern-recognition course is to the categorised course which inputs the mode, kind is essence of the mode, it is generally acknowledged the vector quantity of the characteristic is a generalization of the mode, because of this understanding, Make the computer discern accurately the mode is difficult for some one kind, the problem lies in on the basis of what characteristic vector quantity summarized the human discernment activity is never, But because of the understanding that input a certain side of the mode, then it is similar to utilize, merge, discern in coordination. The operation principle of this mechanism and Agent is extremely similar, this text has analysed that summarizes the difficulty brought toward pattern-recognition of mode, on the basis of the concept of the parameter of the preface while studying in coordination, provide the frame of pattern-recognition based on Agent APRF(Agent orientation Patten Recognition Frame).
分 类 号:TP391.41[自动化与计算机技术—计算机应用技术]
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