Improvement of Learning Performance of Neural Network Using Neurogenesis

نویسندگان

  • Yuta Yokoyama
  • Tomoya Shima
  • Chihiro Ikuta
  • Yoko Uwate
  • Yoshifumi Nishio
چکیده

Neurogenesis is that new neurons are generated in the human brain. The new neurons create new network. The neurogenesis causes the improvement of memory, learning, thinking ability, and so on. We consider that the neurogenesis can be applied to an artificial neural network. In this study, we propose the Recurrent Neural Network (RNN) with neurogenesis and apply to pattern learning. In the RNN with neurogenesis, some neurons are replaced with regenerated neurons. We compare the learning performance of the RNN with neurogenesis with the conventional RNN.

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تاریخ انتشار 2012