%0 Journal Article
%T Artificial Neural Network Model about Implicit Learning<br>内隐学习的人工神经网络模型
%A Guo Xiuyan
%A Zhu Lei
%A Wei Zhichao
%A <br>郭秀艳
%A 朱磊
%A 魏知超
%J 心理科学进展
%D 2006
%I 
%X These years, Artificial Neural Networks have been used to simulate many kinds of psychological activities, including implicit learning. Neural networks has some traits which are good for simulating implicit learning, such as learning to response correctly through weight adjustment. There are two types of neural network models named autoassociators and simple recurrent networks which are used broadly in cognitive simulation.
%K artificial neural network model
%K artificial grammar learning
%K autoassociator
%K serial learning
%K simple recurrent network<br>人工神经网络模型
%K 人工语法学习
%K 自动联系者
%K 序列学习
%K 简单循环网络
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=C94E3F05CFD5644C9DAA97BEB9148D4784B6B22E64D84F4E&jid=FAB1670F77CCC8EC7D836E0D41B12069&aid=37059ADFDF0E06F4&yid=37904DC365DD7266&vid=F3583C8E78166B9E&iid=B31275AF3241DB2D&sid=2C8B50BA95995EA2&eid=85C7135C065B9251&journal_id=1671-3710&journal_name=心理科学进展&referenced_num=0&reference_num=20