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                                       Details for article 61 of 67 found articles
 
 
  Symbol Manipulation with Neural Networks: Production of a Context-free Language Using a Modifiable Working Memory
 
 
Title: Symbol Manipulation with Neural Networks: Production of a Context-free Language Using a Modifiable Working Memory
Author: Van Der Velde, Frank
Appeared in: Connection science
Paging: Volume 7 (1995) nr. 3-4 pages 247-280
Year: 1995-01-01
Contents: An implementation of non-regular symbol manipulation with neural networks is presented. In particular, it is shown how a context-free language can be produced with neural networks. The rules of the language are stored as patterns in an attractor neural network. Another such network is used as a working memory, which can be enlarged without changing the production system itself. As a result, the competence of symbol manipulation with neural networks equals that of classical non-regular production systems. In actual behaviour (performance), however, there are differences between the systems, which shows the importance of implementation in the generation of rule-like behaviour.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 61 of 67 found articles
 
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