Proposal for neural-network applications to fiber-optic transmission

Artificial neural networks are applied to fiber-optic transmission. Two fiber-optic transmission techniques using neural networks are proposed. One is an optical WDM (wavelength division multiplexing) demultiplexer composed of a simple optical component and all electrical neural network. The other is a fiber-optic image-transmission technique using a multimode fiber and a neural network. In either technique, propagation modes, in an optical multimode guide, play an important role in the signal processing. Initial experimental results are presented for these techniques. The combination of optics and neural networks have, so far, produced only the concept of optical neural networks. The techniques described can be regarded as different approaches to this combination