Self-organized learning by self-enforcing networks

  • Authors:

  • Christina Klüver;Jürgen Klüver

  • Affiliations:

  • Institute for Computer Science and Business Information Systems, Essen, Germany;Institute for Computer Science and Business Information Systems, Essen, Germany

  • Venue:
  • IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
  • Year:
  • 2013

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Abstract

We describe a new type of self-organized learning neural networks, namely the Self-Enforcing Network SEN. After introducing our theoretical and methodical frame, basically orientated to the theory of Piaget, we show the logical principles of SEN, including a new activation function, a new learning rule, and a specific visualization algorithm. The operations of SEN are demonstrated with the examples of assimilating new perceptions of animals, the application of a SEN to direct marketing, and the usage of a SEN as consulting system for pupils and beginners at the university. Apparently SEN can be used in many different contexts.