Training fully recurrent neural networks with complex weights
- 1 March 1994
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing
- Vol. 41 (3) , 235-238
- https://doi.org/10.1109/82.279210
Abstract
No abstract availableThis publication has 6 references indexed in Scilit:
- Using recurrent neural networks for blind equalization of linear and nonlinear communications channelsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Complex domain backpropagationIEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, 1992
- On the complex backpropagation algorithmIEEE Transactions on Signal Processing, 1992
- The complex backpropagation algorithmIEEE Transactions on Signal Processing, 1991
- A COMPARISON BETWEEN REAL AND COMPLEX VALUED NEURAL NETWORKS IN COMMUNICATION APPLICATIONSPublished by Elsevier ,1991
- Generalization of the backpropagation neural network learning algorithm to permit complex weightsApplied Optics, 1990