Behavior control of coherent-type neural networks by carrier-frequency modulation
- 1 July 1996
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Neural Networks
- Vol. 7 (4), 1032-1034
- https://doi.org/10.1109/72.508945
Abstract
Coherent-type artificial neural networks whose behavior is controlled by carrier-frequency modulation are proposed. The network learns teacher signals associated with an information-carrier frequency as a network parameter. The total network system forms a self-homodyne circuit. The learning process is realized by adjusting delay time and conductance of neural connections. Experiments demonstrate that the network behavior is successfully controlled by the carrier-frequency modulation. This result will be applicable not only to signal processing but also to frequency-multiplexed optical neural computing and quantum neural devices such as carrier-energy-controlled neurons in the future.Keywords
This publication has 5 references indexed in Scilit:
- Applications of complex-valued neural networks to coherent optical computing using phase-sensitive detection schemeInformation Sciences - Applications, 1994
- Energy function of complex neural fields generated by optical gain and feedbackPublished by SPIE-Intl Soc Optical Eng ,1993
- A complex mapping network for phase sensitive classificationIEEE Transactions on Neural Networks, 1993
- Complex domain backpropagationIEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, 1992
- The complex LMS algorithmProceedings of the IEEE, 1975