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Dynamical learning algorithms for neural networks and neural constructivism

Published online by Cambridge University Press:  01 December 1997

Enrico Blanzieri
Enrico Blanzieri
Affiliation:
Centro di Scienza Cognitiva, Universita' di Torino, 10123 Turin, Italyblanzier@di.unito.it
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Abstract

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.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 20 , Issue 4 , December 1997 , pp. 559
Copyright
© 1997 Cambridge University Press

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