Opto-Electronics Hybrid Implementation of a Multi-State and Multi-Threshold Neural Network Model

[in Chinese]; [in Chinese]

Journals >Acta Optica Sinica >Volume 16 >Issue 6 >Page 772 > Article

Acta Optica Sinica
Vol. 16, Issue 6, 772 (1996)

Opto-Electronics Hybrid Implementation of a Multi-State and Multi-Threshold Neural Network Model

[in Chinese] and [in Chinese]

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[in Chinese]

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[in Chinese], [in Chinese]. Opto-Electronics Hybrid Implementation of a Multi-State and Multi-Threshold Neural Network Model[J]. Acta Optica Sinica, 1996, 16(6): 772 Copy Citation Text

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Abstract

A new kind of optical neural network for associative colors using high resolution liquid crystal televisions (LCTV) is proposed and constructed. This new model adopts the multivalued neural algorithm based Hop field feedback associative memory model. The system design consideration and an experimental demonstration of the LCTV neural network are provided.

Keywords

interconnection weight matrx multivalue optical interconnections threshold neural network

[in Chinese], [in Chinese]. Opto-Electronics Hybrid Implementation of a Multi-State and Multi-Threshold Neural Network Model[J]. Acta Optica Sinica, 1996, 16(6): 772

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