Optical implementation of terminal-attractor-based associative memory
| Autor: | Hua-Kuang Liu, Nabil H. Farhat, Jacob Barhen |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Artificial neural network
business.industry Computer science Materials Science (miscellaneous) Optical computing Content-addressable memory Topology Industrial and Manufacturing Engineering Optics medicine.anatomical_structure Parallel processing (DSP implementation) Terminal (electronics) Attractor medicine Bidirectional associative memory Neuron Business and International Management business |
| Zdroj: | Applied optics. 31(23) |
| ISSN: | 1559-128X |
| Popis: | For the purpose of reducing the spurious states in a Hopfield neural net for associative memory, we invoke terminal attractors. In achieving the optical implementation of the terminal-attractor-based associative memory (TABAM) as described in this paper, we first prove the existence of the terminal-attractor model with binary neuron representation. We then present several one- and two-dimensional optical architectures for the TABAM. Finally, as an example, we experimentally demonstrate an inner-product optical neural model using liquid-crystal spatial light modulators with engineering approximations and discuss how to apply the inner-product model to build a two-dimensional parallel processing TABAM. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|