Abstract:
The three most important models of neural networks – a bidirectional associative memory, Hopfield networks, and adaptive resonance networks – are used as examples to show that a holographic correlator has its place in the neural computing paradigm.
Citation:
V. K. Sokolov, E. I. Shubnikov, “Optical neural networks based on holographic correlators”, Kvantovaya Elektronika, 22:10 (1995), 1067–1071 [Quantum Electron., 25:10 (1995), 1032–1036]
Linking options:
https://www.mathnet.ru/eng/qe527
https://www.mathnet.ru/eng/qe/v22/i10/p1067
This publication is cited in the following 3 articles: