1996 Volume 116 Issue 7 Pages 748-754
To deal with temporal sequences is very important and difficult problem for applications of neural networks. In this paper, we propose a Multilayer Network using Complex neurons with local Feedback (MNCF). A complex neuron can keep previous information more easily than a real neuron because of the phase component. We derive simple learning algorithm based on the back-propagation for temporal sequences. It can be considered as a generalized original back-propagation. It is shown in computer simulations that the proposed network has better ability than the conventional real ones, including Elman's network.