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- W2183627259 abstract "This paper presents a novel idea of a behavior- based self-organizing map. The self-organizing map (SOM) is extended to cover 'objects' that interact with their envi- ronment. They are organized based on their behavior in- stead of parameterized presentation. The original SOM needs a metric to be defined, while in the new self-organizing map no metric between the parame- terized presentations is needed. The neighborhood concept of SOM algorithm is given a probability interpretation that is suitable for evolutionary computing. The behavior based SOM algorithm is presented, and the new concept is demonstrated on linear time-series models, that are identified and organized based on sample data from a simulated system." @default.
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- W2183627259 date "1998-01-01" @default.
- W2183627259 modified "2023-09-27" @default.
- W2183627259 title "volut ionary Training of Behavior-Base rganizing Ma" @default.
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