基于光神经网络的参数化四波混频过程

Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02. Pub Date : 2002-11-18 DOI:10.1109/ICONIP.2002.1198966

L. Litinskii, B. Kryzhanovsky, A. Fonarev

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引用次数: 5

摘要

本文根据非线性光学中众所周知的参数化四波混频过程，提出了一种描述网络运行的形式。考虑了以q个不同频率工作的参数神经元网络的识别能力。结果表明，与Potts-glass模型相比，该网络的存储容量更高。

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Optical neural network based on the parametrical four-wave mixing process

In this paper we develop a formalism allowing us to describe operating of a network based on the parametrical four-wave mixing process that is well-known in nonlinear optics. The recognition power of a network using parametric neurons operating with q different frequencies is considered. It is shown that the storage capacity of such a network is higher compared with the Potts-glass models.

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Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02.

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