Mode-Utilizing Developmental Learning Based on Coherent Neural Networks

  • Akira Hirose
  • Yasufumi Asano
  • Toshihiko Hamano
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3316)


We propose a mode-utilizing developmental learning method. Thereby a system possesses a mode parameter and learns similar or advanced tasks incrementally by using its cumulative skill. We construct the system based on the coherent neural network where we choose its carrier frequency as the mode parameter. In this demonstration, we assume two tasks: basic and advanced. The first is to ride a bicycle as long as the system can before it falls. The second is to ride as far as possible. It is demonstrated that the system finds self-organizingly a suitable value of the mode parameter in the second task learning. The learning is performed efficiently to succeed in riding for a long distance.


Carrier Frequency Mode Parameter Rolling Angle Hill Climbing Neural Network Ensemble 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Akira Hirose
    • 1
    • 2
  • Yasufumi Asano
    • 2
  • Toshihiko Hamano
    • 1
  1. 1.Department of Frontier InformaticsThe University of TokyoTokyoJapan
  2. 2.Department of Electronic EngineeringThe University of TokyoTokyoJapan

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