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1994 (1)
1Author    AxelA H OffRequires cookie*
 Title    Chaos Control and Neural Classification  
 Abstract    Chaotic behaviour in biological neural networks is known from various experiments. The recent finding that it is possible to "control" chaotic systems may help answer the question whether chaos plays an active role in neutral information processing. It is demonstrated that a m ethod for chaos control which was proposed by Pyragas can be used to let a chaotic system act like an autoassocia-tive memory for time signal inputs. Specifically a com bined chaotic and chaos control system can reconstruct unstable periodic orbits from incomplete information. The potential relevance o f these findings for neural information processing is pointed out. 
  Reference    Z. Naturforsch. 49a, 589—5 (1994); received December 20 1993 
  Published    1994 
  Keywords    Chaos control, Neural networks, Classification, Associative memory 
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 TEI-XML for    default:Reihe_A/49/ZNA-1994-49a-0589.pdf 
 Identifier    ZNA-1994-49a-0589 
 Volume    49