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                                       Details for article 43 of 46 found articles
 
 
  Task-dependent evolution of modularity in neural networks
 
 
Title: Task-dependent evolution of modularity in neural networks
Author: Husken, Michael
Igel, Christian
Toussaint, Marc
Appeared in: Connection science
Paging: Volume 14 (2002) nr. 3 pages 219-229
Year: 2002-09-01
Contents: There exist many ideas and assumptions about the development and meaning of modularity in biological and technical neural systems. We empirically study the evolution of connectionist models in the context of modular problems. For this purpose, we define quantitative measures for the degree of modularity and monitor them during evolutionary processes under different constraints. It turns out that the modularity of the problem is reflected by the architecture of adapted systems, although learning can counterbalance some imperfection of the architecture. The demand for fast learning systems increases the selective pressure towards modularity.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 43 of 46 found articles
 
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