Title :
Word Learning Using a Self-Organizing Map
Author :
Li, Lishu ; Chen, Qinghua ; Cui, Jiaxin ; Fang, Fukang
Author_Institution :
Dept. of Syst. Sci., Beijing Normal Univ., Beijing
Abstract :
SOMs have been successfully applied in various fields. In this paper, we proposed an expanded SOM model for word learning which is a classic problem in cognitive science. In spite of simple computation of this model, the simulation results are consistent with the conclusion of the newest Bayesian model in the same learning cases. It implies that this model has the ability like human to properly response to different number and span of samples.
Keywords :
Bayes methods; data analysis; learning (artificial intelligence); self-organising feature maps; Bayesian model; cognitive science; self-organizing map model; word learning; word-to-meaning mapping; Artificial neural networks; Bayesian methods; Chemical analysis; Cognition; Computational modeling; Humans; Information technology; Neurons; Technology management; Unsupervised learning; SOM; artificial neural networks; word learning;
Conference_Titel :
Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3497-8
DOI :
10.1109/IITA.2008.65
