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Learning Behavior Using Mult iresolution Recurrent Neural Network

  • Satsru Morits
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1689)

Abstract

We propose the multiresolution recurrekt neural network to learn behavior b d on view and action. Recurrent neural network structure has the multiresolution channel to establish between the view and the action. It is difficult to learn action using only a image generally. We solve this problem by using the 3 kinds of image on the frequency. We control the rnultiresolution vision using Genetic Algorithm. The action sequences is acquired by the pan-tilt camera.

Keywords

Genetic Algorithm Hide Layer Action Sequence Recurrent Neural Network Topology Change 
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 1999

Authors and Affiliations

  • Satsru Morits
    • 1
    • 2
  1. 1.Image Sciences InstituteUniveristy Hospital UtrechtUtrechtGermany
  2. 2.Faculty of EngineeringYamaguchi UniversityTokiwadai UbcJapan

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