ISSN 1671-3710
CN 11-4766/R
主办:中国科学院心理研究所
出版:科学出版社

›› 2006, Vol. 14 ›› Issue (6): 837-843.

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Artificial Neural Network Model about Implicit Learning

Guo Xiuyan,Zhu Lei;Wei Zhichao   

  1. Department of Psychology, East China Normal University, Shanghai 200062, China
  • Received:2006-09-20 Revised:1900-01-01 Online:2006-11-15 Published:2006-11-15
  • Contact: Guo Xiuyan

Abstract: 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

Key words: artificial neural network model, artificial grammar learning, autoassociator, serial learning, simple recurrent network

CLC Number: