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Learning temporal sequences by complex neurons with local feedback

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2 Author(s)
Kinouchi, M. ; Dept. of Electr. Eng., Keio Univ., Yokohama, Japan ; Hagiwara, M.

To deal with temporal sequences is a very important and difficult problem for application of neural networks. We propose a multilayer network using complex neurons with local feedback (MNCF). A complex neuron can keep previous information by using the phase component. We derive a simple learning algorithm based on backpropagation for temporal sequences. It is shown in computer simulations that the proposed network has better ability than conventional real ones, including Elman's network

Published in:

Neural Networks, 1995. Proceedings., IEEE International Conference on  (Volume:6 )

Date of Conference:

Nov/Dec 1995

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