Learning in Neural Network – Unusual Effects of “Artificial Dreams”

  • Ryszard Tadeusiewicz
  • Andrzej Izworski
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4232)


Most researchers focused on particular result ignore intermediate stages of learning process of neural networks. The unstable and transitory phenomena, discovered in neural networks during the learning process, long time after the initial stage of learning, when the network knows nothing because of random values of all weights, and long time before final stage of learning process, when the network knows (almost) everything – can be very interesting, especially when we can associate with them some psychological interpretations. Some "immature" neurons exhibit behavior that can be interpreted as source of "artificial dreams". Article presents examples of simple neural networks with capabilities which might explain the origins of dreams and myths.


Neural Network Learning Process Weight Vector Unusual Effect Real World Object 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Ryszard Tadeusiewicz
    • 1
  • Andrzej Izworski
    • 1
  1. 1.Department of AutomaticsAGH University of Science and TechnologyKrakówPoland

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