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Behavior Modeling by Neural Networks

  • Lambert Spaanenburg
  • Mona Akbarniai Tehrani
  • Richard Kleihorst
  • Peter B. L. Meijer
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5768)

Abstract

Modeling of human and animal behavior is of interest for a number of diagnostic purposes. Convolutional neural networks offer a constructive approach allowing learning on a limited number of examples. Chaotic tendencies make that learning is not always successful. The paper looks into a number of applications to find the reason for this anomaly and identifies the need for behavioral references to provide determinism in the diagnostic model.

Keywords

Behavioral modeling convolutional neural network collision avoidance 3-tier architecture Sinai billiard system 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Lambert Spaanenburg
    • 1
  • Mona Akbarniai Tehrani
    • 1
  • Richard Kleihorst
    • 2
  • Peter B. L. Meijer
    • 2
  1. 1.Dept. of Electrical and Information technologyLund UniversityLundSweden
  2. 2.NXP Semiconductors, ResearchEindhovenThe Netherlands

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