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形态学联想记忆在内隐学习中的应用
引用本文:冯乃勤,秦利娟,王鲜芳,田勇,祝小静. 形态学联想记忆在内隐学习中的应用[J]. 河南师范大学学报(自然科学版), 2013, 41(3): 156-159
作者姓名:冯乃勤  秦利娟  王鲜芳  田勇  祝小静
作者单位:河南师范大学计算机信息与工程学院,河南新乡,453007
基金项目:国家自然科学基金,河南省基础与前沿研究计划
摘    要:内隐学习的研究关系到人类潜能开发的根本问题,是认知心理学研究的热点和难点.传统人工神经网络能够成功地模拟内隐学习,但模拟过程存在许多弊端,模拟效率也非常低.针对这些问题,采用形态学联想记忆网络(MAM)去解决.MAM不仅能够实现内隐学习的模拟,而且可以克服传统人工神经网络在模拟内隐学习时的各种缺陷,实验表明了该方法的有效性.

关 键 词:内隐学习  传统人工神经网络  形态学联想记忆网络  模拟

Morphological Associative Memories Applied to the Implicit Learning
FENG Naiqin , QIN Lijuan , WANG Xianfang , TIAN Yong , ZHU Xiaojing. Morphological Associative Memories Applied to the Implicit Learning[J]. Journal of Henan Normal University(Natural Science), 2013, 41(3): 156-159
Authors:FENG Naiqin    QIN Lijuan    WANG Xianfang    TIAN Yong    ZHU Xiaojing
Affiliation:(College of Computer and Information Engineering,Henan Normal University,Xinxiang 453007,China)
Abstract:Implicit learning research related to the fundamental problem of the of the development of human potential,which has increasingly become a hot and difficult in cognitive psychology research.The traditional artificial neural network can successfully simulate implicit learning,but there are many disadvantages in the process of simulation,the efficiency of simulation is also quite low.In this paper,the morphological associative memories(MAM) are used in order to solve the problem.MAM can not only realize the simulation of implicit learning,but also overcome the various defects that traditional artificial neural network in simulation of implicit learning,and it shows the effectiveness of the method.
Keywords:implicit learning  traditional artificial neural networks  morphological associative memories  simulation
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