Dynamical learning algorithms for neural networks and neural constructivism

被引：0
|
作者：
Blanzieri, E [1 ]
机构：
[1] Univ Turin, Ctr Cognit Sci, I-10123 Turin, Italy
来源：
BEHAVIORAL AND BRAIN SCIENCES | 1997年 / 20卷 / 04期
关键词：
D O I：
10.1017/S0140525X97251587
中图分类号：
B84 [心理学];
学科分类号：
04 ; 0402 ;
摘要：
The present commentary addresses the Quartz & Sejnowski (Q&S) target article from the point of view of the dynamical learning algorithm for neural networks. These techniques implicitly adopt Q&S's neural constructivist paradigm. Their approach hence receives support from the biological and psychological evidence. Limitations of constructive learning for neural networks are discussed with an emphasis on grammar learning.
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页码：559 / +
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