Photonic neural networks and learning machines
| Autor: | N.H. Farhat |
|---|---|
| Rok vydání: | 1992 |
| Předmět: |
Interconnection
Theoretical computer science Quantitative Biology::Neurons and Cognition Artificial neural network Computer science business.industry Computer Science::Neural and Evolutionary Computation General Engineering Holography Physics::Optics Transfer function law.invention Planar law Cellular neural network Electronic engineering Electronics Photonics business |
| Zdroj: | IEEE Expert. 7:63-72 |
| ISSN: | 0885-9000 |
| DOI: | 10.1109/64.163674 |
| Popis: | Photonic implementations of neural networks, which use electronics to furnish gain and implement neural transfer functions and establish weighted connections between neutrons using incoherent light, are discussed. Fully or partially optical implementations incorporate coherent light and volume or planar holograms to establish interconnection weights, and spatial light modulators to implement neural transfer functions. The implementation of learning algorithms on optoelectronic neural networks is also discussed. > |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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