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                                       Details for article 41 of 76 found articles
 
 
  Hypertransfer in Neural Networks
 
 
Title: Hypertransfer in Neural Networks
Author: Murre, Jaap M. J.
Appeared in: Connection science
Paging: Volume 8 (1996) nr. 2 pages 249-258
Year: 1996-06-01
Contents: The Osgood surface for transfer in human associative learning is introduced (Osgood, 1949). It describes the relationship between stimulus and response similarities and transfer of learning. In this paradigm, first a list A is learned, then a list B, followed by retesting on list A. Simulation results indicate that three-layer networks with backpropagation do not only show 'catastrophic interference' but also 'hypertransfer'. Two-layer networks do not suffer from this. Hypertransfer is explained with reference to hidden-layer representations formed during learning. Since it cannot account for this very general trait of human behavior, backpropagation's role as a tool for models of human memory must be watched very carefully.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 41 of 76 found articles
 
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