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Learning temporal sequences by complex neurons with local feedback | IEEE Conference Publication | IEEE Xplore

Learning temporal sequences by complex neurons with local feedback


Abstract:

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 l...Show More

Abstract:

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.
Date of Conference: 27 November 1995 - 01 December 1995
Date Added to IEEE Xplore: 06 August 2002
Print ISBN:0-7803-2768-3
Conference Location: Perth, WA, Australia

References

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