Behavior Modeling by Neural Networks

  • Authors:
  • Lambert Spaanenburg;Mona Akbarniai Tehrani;Richard Kleihorst;Peter B. Meijer

  • Affiliations:
  • Dept. of Electrical and Information technology, Lund University, Lund, Sweden 22100;Dept. of Electrical and Information technology, Lund University, Lund, Sweden 22100;NXP Semiconductors, Research, Eindhoven, The Netherlands 5656;NXP Semiconductors, Research, Eindhoven, The Netherlands 5656

  • Venue:
  • ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
  • Year:
  • 2009
  • CNN-Applications in Toll Driving

    Journal of VLSI Signal Processing Systems - Special issue on spatiotemporal signal processing with analog CNN visual microprocessors

Quantified Score

Hi-index 0.00

Visualization

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.